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Sample records for neuroscience information framework

  1. A survey of the neuroscience resource landscape: perspectives from the neuroscience information framework.

    PubMed

    Cachat, Jonathan; Bandrowski, Anita; Grethe, Jeffery S; Gupta, Amarnath; Astakhov, Vadim; Imam, Fahim; Larson, Stephen D; Martone, Maryann E

    2012-01-01

    The number of available neuroscience resources (databases, tools, materials, and networks) available via the Web continues to expand, particularly in light of newly implemented data sharing policies required by funding agencies and journals. However, the nature of dense, multifaceted neuroscience data and the design of classic search engine systems make efficient, reliable, and relevant discovery of such resources a significant challenge. This challenge is especially pertinent for online databases, whose dynamic content is largely opaque to contemporary search engines. The Neuroscience Information Framework was initiated to address this problem of finding and utilizing neuroscience-relevant resources. Since its first production release in 2008, NIF has been surveying the resource landscape for the neurosciences, identifying relevant resources and working to make them easily discoverable by the neuroscience community. In this chapter, we provide a survey of the resource landscape for neuroscience: what types of resources are available, how many there are, what they contain, and most importantly, ways in which these resources can be utilized by the research community to advance neuroscience research.

  2. Federated access to heterogeneous information resources in the Neuroscience Information Framework (NIF).

    PubMed

    Gupta, Amarnath; Bug, William; Marenco, Luis; Qian, Xufei; Condit, Christopher; Rangarajan, Arun; Müller, Hans Michael; Miller, Perry L; Sanders, Brian; Grethe, Jeffrey S; Astakhov, Vadim; Shepherd, Gordon; Sternberg, Paul W; Martone, Maryann E

    2008-09-01

    The overarching goal of the NIF (Neuroscience Information Framework) project is to be a one-stop-shop for Neuroscience. This paper provides a technical overview of how the system is designed. The technical goal of the first version of the NIF system was to develop an information system that a neuroscientist can use to locate relevant information from a wide variety of information sources by simple keyword queries. Although the user would provide only keywords to retrieve information, the NIF system is designed to treat them as concepts whose meanings are interpreted by the system. Thus, a search for term should find a record containing synonyms of the term. The system is targeted to find information from web pages, publications, databases, web sites built upon databases, XML documents and any other modality in which such information may be published. We have designed a system to achieve this functionality. A central element in the system is an ontology called NIFSTD (for NIF Standard) constructed by amalgamating a number of known and newly developed ontologies. NIFSTD is used by our ontology management module, called OntoQuest to perform ontology-based search over data sources. The NIF architecture currently provides three different mechanisms for searching heterogeneous data sources including relational databases, web sites, XML documents and full text of publications. Version 1.0 of the NIF system is currently in beta test and may be accessed through http://nif.nih.gov.

  3. Federated Access to Heterogeneous Information Resources in the Neuroscience Information Framework (NIF)

    PubMed Central

    Gupta, Amarnath; Bug, William; Marenco, Luis; Qian, Xufei; Condit, Christopher; Rangarajan, Arun; Müller, Hans Michael; Miller, Perry L.; Sanders, Brian; Grethe, Jeffrey S.; Astakhov, Vadim; Shepherd, Gordon; Sternberg, Paul W.; Martone, Maryann E.

    2009-01-01

    The overarching goal of the NIF (Neuroscience Information Framework) project is to be a one-stop-shop for Neuroscience. This paper provides a technical overview of how the system is designed. The technical goal of the first version of the NIF system was to develop an information system that a neuroscientist can use to locate relevant information from a wide variety of information sources by simple keyword queries. Although the user would provide only keywords to retrieve information, the NIF system is designed to treat them as concepts whose meanings are interpreted by the system. Thus, a search for term should find a record containing synonyms of the term. The system is targeted to find information from web pages, publications, databases, web sites built upon databases, XML documents and any other modality in which such information may be published. We have designed a system to achieve this functionality. A central element in the system is an ontology called NIFSTD (for NIF Standard) constructed by amalgamating a number of known and newly developed ontologies. NIFSTD is used by our ontology management module, called OntoQuest to perform ontology-based search over data sources. The NIF architecture currently provides three different mechanisms for searching heterogeneous data sources including relational databases, web sites, XML documents and full text of publications. Version 1.0 of the NIF system is currently in beta test and may be accessed through http://nif.nih.gov. PMID:18958629

  4. A hybrid human and machine resource curation pipeline for the Neuroscience Information Framework.

    PubMed

    Bandrowski, A E; Cachat, J; Li, Y; Müller, H M; Sternberg, P W; Ciccarese, P; Clark, T; Marenco, L; Wang, R; Astakhov, V; Grethe, J S; Martone, M E

    2012-01-01

    The breadth of information resources available to researchers on the Internet continues to expand, particularly in light of recently implemented data-sharing policies required by funding agencies. However, the nature of dense, multifaceted neuroscience data and the design of contemporary search engine systems makes efficient, reliable and relevant discovery of such information a significant challenge. This challenge is specifically pertinent for online databases, whose dynamic content is 'hidden' from search engines. The Neuroscience Information Framework (NIF; http://www.neuinfo.org) was funded by the NIH Blueprint for Neuroscience Research to address the problem of finding and utilizing neuroscience-relevant resources such as software tools, data sets, experimental animals and antibodies across the Internet. From the outset, NIF sought to provide an accounting of available resources, whereas developing technical solutions to finding, accessing and utilizing them. The curators therefore, are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping the contents current. In the initial phases of the project, all aspects of the registration and curation processes were manual. However, as the number of resources grew, manual curation became impractical. This report describes our experiences and successes with developing automated resource discovery and semiautomated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. We also describe the DISCO framework, a suite of automated web services that significantly reduce manual curation efforts to periodically check for resource updates. Lastly, we discuss DOMEO, a semi-automated annotation tool that improves the discovery and curation of resources that are not necessarily website-based (i.e. reagents, software tools). Although the ultimate goal of automation was to

  5. A hybrid human and machine resource curation pipeline for the Neuroscience Information Framework

    PubMed Central

    Bandrowski, A. E.; Cachat, J.; Li, Y.; Müller, H. M.; Sternberg, P. W.; Ciccarese, P.; Clark, T.; Marenco, L.; Wang, R.; Astakhov, V.; Grethe, J. S.; Martone, M. E.

    2012-01-01

    The breadth of information resources available to researchers on the Internet continues to expand, particularly in light of recently implemented data-sharing policies required by funding agencies. However, the nature of dense, multifaceted neuroscience data and the design of contemporary search engine systems makes efficient, reliable and relevant discovery of such information a significant challenge. This challenge is specifically pertinent for online databases, whose dynamic content is ‘hidden’ from search engines. The Neuroscience Information Framework (NIF; http://www.neuinfo.org) was funded by the NIH Blueprint for Neuroscience Research to address the problem of finding and utilizing neuroscience-relevant resources such as software tools, data sets, experimental animals and antibodies across the Internet. From the outset, NIF sought to provide an accounting of available resources, whereas developing technical solutions to finding, accessing and utilizing them. The curators therefore, are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping the contents current. In the initial phases of the project, all aspects of the registration and curation processes were manual. However, as the number of resources grew, manual curation became impractical. This report describes our experiences and successes with developing automated resource discovery and semiautomated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. We also describe the DISCO framework, a suite of automated web services that significantly reduce manual curation efforts to periodically check for resource updates. Lastly, we discuss DOMEO, a semi-automated annotation tool that improves the discovery and curation of resources that are not necessarily website-based (i.e. reagents, software tools). Although the ultimate goal of automation was to

  6. Progressive Education Standards: A Neuroscience Framework

    ERIC Educational Resources Information Center

    O'Grady, Patty

    2011-01-01

    This paper proposes a coherent and unique set of 12 standards, adopting a neuroscience framework for biologically based on school reform. This model of educational principles and practices aligns with the long-standing principles and practices of the Progressive Education Movement in the United States and the emerging principles of neuroscience.…

  7. Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources

    PubMed Central

    Marenco, Luis N.; Wang, Rixin; Bandrowski, Anita E.; Grethe, Jeffrey S.; Shepherd, Gordon M.; Miller, Perry L.

    2014-01-01

    This paper describes how DISCO, the data aggregator that supports the Neuroscience Information Framework (NIF), has been extended to play a central role in automating the complex workflow required to support and coordinate the NIF’s data integration capabilities. The NIF is an NIH Neuroscience Blueprint initiative designed to help researchers access the wealth of data related to the neurosciences available via the Internet. A central component is the NIF Federation, a searchable database that currently contains data from 231 data and information resources regularly harvested, updated, and warehoused in the DISCO system. In the past several years, DISCO has greatly extended its functionality and has evolved to play a central role in automating the complex, ongoing process of harvesting, validating, integrating, and displaying neuroscience data from a growing set of participating resources. This paper provides an overview of DISCO’s current capabilities and discusses a number of the challenges and future directions related to the process of coordinating the integration of neuroscience data within the NIF Federation. PMID:25018728

  8. Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources.

    PubMed

    Marenco, Luis N; Wang, Rixin; Bandrowski, Anita E; Grethe, Jeffrey S; Shepherd, Gordon M; Miller, Perry L

    2014-01-01

    This paper describes how DISCO, the data aggregator that supports the Neuroscience Information Framework (NIF), has been extended to play a central role in automating the complex workflow required to support and coordinate the NIF's data integration capabilities. The NIF is an NIH Neuroscience Blueprint initiative designed to help researchers access the wealth of data related to the neurosciences available via the Internet. A central component is the NIF Federation, a searchable database that currently contains data from 231 data and information resources regularly harvested, updated, and warehoused in the DISCO system. In the past several years, DISCO has greatly extended its functionality and has evolved to play a central role in automating the complex, ongoing process of harvesting, validating, integrating, and displaying neuroscience data from a growing set of participating resources. This paper provides an overview of DISCO's current capabilities and discusses a number of the challenges and future directions related to the process of coordinating the integration of neuroscience data within the NIF Federation.

  9. NeuroLex.org: an online framework for neuroscience knowledge.

    PubMed

    Larson, Stephen D; Martone, Maryann E

    2013-01-01

    The ability to transmit, organize, and query information digitally has brought with it the challenge of how to best use this power to facilitate scientific inquiry. Today, few information systems are able to provide detailed answers to complex questions about neuroscience that account for multiple spatial scales, and which cross the boundaries of diverse parts of the nervous system such as molecules, cellular parts, cells, circuits, systems and tissues. As a result, investigators still primarily seek answers to their questions in an increasingly densely populated collection of articles in the literature, each of which must be digested individually. If it were easier to search a knowledge base that was structured to answer neuroscience questions, such a system would enable questions to be answered in seconds that would otherwise require hours of literature review. In this article, we describe NeuroLex.org, a wiki-based website and knowledge management system. Its goal is to bring neurobiological knowledge into a framework that allows neuroscientists to review the concepts of neuroscience, with an emphasis on multiscale descriptions of the parts of nervous systems, aggregate their understanding with that of other scientists, link them to data sources and descriptions of important concepts in neuroscience, and expose parts that are still controversial or missing. To date, the site is tracking ~25,000 unique neuroanatomical parts and concepts in neurobiology spanning experimental techniques, behavioral paradigms, anatomical nomenclature, genes, proteins and molecules. Here we show how the structuring of information about these anatomical parts in the nervous system can be reused to answer multiple neuroscience questions, such as displaying all known GABAergic neurons aggregated in NeuroLex or displaying all brain regions that are known within NeuroLex to send axons into the cerebellar cortex.

  10. Teaching Ethics Informed by Neuroscience

    ERIC Educational Resources Information Center

    Sayre, Molly Malany

    2016-01-01

    New findings about the brain are explicating how we make moral and ethical decisions. The neuroscience of morality is relevant to ethical decision making in social work because of a shared biopsychosocial perspective and the field's explanatory power to understand possible origins of universally accepted morals and personal attitudes at play in…

  11. Explaining the alluring influence of neuroscience information on scientific reasoning.

    PubMed

    Rhodes, Rebecca E; Rodriguez, Fernando; Shah, Priti

    2014-09-01

    Previous studies have investigated the influence of neuroscience information or images on ratings of scientific evidence quality but have yielded mixed results. We examined the influence of neuroscience information on evaluations of flawed scientific studies after taking into account individual differences in scientific reasoning skills, thinking dispositions, and prior beliefs about a claim. We found that neuroscience information, even though irrelevant, made people believe they had a better understanding of the mechanism underlying a behavioral phenomenon. Neuroscience information had a smaller effect on ratings of article quality and scientist quality. Our study suggests that neuroscience information may provide an illusion of explanatory depth.

  12. Information Infrastructure for Cooperative Research in Neuroscience

    PubMed Central

    Durka, P. J.; Blinowski, G. J.; Klekowicz, H.; Malinowska, U.; Kuś, R.; Blinowska, K. J.

    2009-01-01

    The paper describes a framework for efficient sharing of knowledge between research groups, which have been working for several years without flaws. The obstacles in cooperation are connected primarily with the lack of platforms for effective exchange of experimental data, models, and algorithms. The solution to these problems is proposed by construction of the platform (EEG.pl) with the semantic aware search scheme between portals. The above approach implanted in the international cooperative projects like NEUROMATH may bring the significant progress in designing efficient methods for neuroscience research. PMID:19753299

  13. The NIF DISCO Framework: facilitating automated integration of neuroscience content on the web.

    PubMed

    Marenco, Luis; Wang, Rixin; Shepherd, Gordon M; Miller, Perry L

    2010-06-01

    This paper describes the capabilities of DISCO, an extensible approach that supports integrative Web-based information dissemination. DISCO is a component of the Neuroscience Information Framework (NIF), an NIH Neuroscience Blueprint initiative that facilitates integrated access to diverse neuroscience resources via the Internet. DISCO facilitates the automated maintenance of several distinct capabilities using a collection of files 1) that are maintained locally by the developers of participating neuroscience resources and 2) that are "harvested" on a regular basis by a central DISCO server. This approach allows central NIF capabilities to be updated as each resource's content changes over time. DISCO currently supports the following capabilities: 1) resource descriptions, 2) "LinkOut" to a resource's data items from NCBI Entrez resources such as PubMed, 3) Web-based interoperation with a resource, 4) sharing a resource's lexicon and ontology, 5) sharing a resource's database schema, and 6) participation by the resource in neuroscience-related RSS news dissemination. The developers of a resource are free to choose which DISCO capabilities their resource will participate in. Although DISCO is used by NIF to facilitate neuroscience data integration, its capabilities have general applicability to other areas of research.

  14. Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience.

    PubMed

    Ashwin, Peter; Coombes, Stephen; Nicks, Rachel

    2016-12-01

    The tools of weakly coupled phase oscillator theory have had a profound impact on the neuroscience community, providing insight into a variety of network behaviours ranging from central pattern generation to synchronisation, as well as predicting novel network states such as chimeras. However, there are many instances where this theory is expected to break down, say in the presence of strong coupling, or must be carefully interpreted, as in the presence of stochastic forcing. There are also surprises in the dynamical complexity of the attractors that can robustly appear-for example, heteroclinic network attractors. In this review we present a set of mathematical tools that are suitable for addressing the dynamics of oscillatory neural networks, broadening from a standard phase oscillator perspective to provide a practical framework for further successful applications of mathematics to understanding network dynamics in neuroscience.

  15. How neuroscience can inform consumer research.

    PubMed

    Kenning, Peter H; Plassmann, Hilke

    2008-12-01

    Recently, a rapidly growing approach within consumer research has developed under the label of "consumer neuroscience." Its goal is to use insights and methods from neuroscience to enhance the understanding of consumer behavior. In this paper we aim to provide an overview of questions of interest to consumer researchers, to present initial research findings, and to outline potential implications for consumer research. In order to do so, we first discuss the term "consumer neuroscience" and give a brief description of recently discussed issues in consumer research. We then provide a review and short description of initial empirical evidence from past studies in consumer neuroscience. Next, we present an example of how consumer research or, more specifically, customer loyalty research, may benefit from the consumer neuroscience approach. The paper concludes with a discussion of potential implications and suggestions for future research in the nascent field of consumer neuroscience.

  16. Explaining the Alluring Influence of Neuroscience Information on Scientific Reasoning

    ERIC Educational Resources Information Center

    Rhodes, Rebecca E.; Rodriguez, Fernando; Shah, Priti

    2014-01-01

    Previous studies have investigated the influence of neuroscience information or images on ratings of scientific evidence quality but have yielded mixed results. We examined the influence of neuroscience information on evaluations of flawed scientific studies after taking into account individual differences in scientific reasoning skills, thinking…

  17. Superfluous neuroscience information makes explanations of psychological phenomena more appealing.

    PubMed

    Fernandez-Duque, Diego; Evans, Jessica; Christian, Colton; Hodges, Sara D

    2015-05-01

    Does the presence of irrelevant neuroscience information make explanations of psychological phenomena more appealing? Do fMRI pictures further increase that allure? To help answer these questions, 385 college students in four experiments read brief descriptions of psychological phenomena, each one accompanied by an explanation of varying quality (good vs. circular) and followed by superfluous information of various types. Ancillary measures assessed participants' analytical thinking, beliefs on dualism and free will, and admiration for different sciences. In Experiment 1, superfluous neuroscience information increased the judged quality of the argument for both good and bad explanations, whereas accompanying fMRI pictures had no impact above and beyond the neuroscience text, suggesting a bias that is conceptual rather than pictorial. Superfluous neuroscience information was more alluring than social science information (Experiment 2) and more alluring than information from prestigious "hard sciences" (Experiments 3 and 4). Analytical thinking did not protect against the neuroscience bias, nor did a belief in dualism or free will. We conclude that the "allure of neuroscience" bias is conceptual, specific to neuroscience, and not easily accounted for by the prestige of the discipline. It may stem from the lay belief that the brain is the best explanans for mental phenomena.

  18. A framework for streamlining research workflow in neuroscience and psychology

    PubMed Central

    Kubilius, Jonas

    2014-01-01

    Successful accumulation of knowledge is critically dependent on the ability to verify and replicate every part of scientific conduct. However, such principles are difficult to enact when researchers continue to resort on ad-hoc workflows and with poorly maintained code base. In this paper I examine the needs of neuroscience and psychology community, and introduce psychopy_ext, a unifying framework that seamlessly integrates popular experiment building, analysis and manuscript preparation tools by choosing reasonable defaults and implementing relatively rigid patterns of workflow. This structure allows for automation of multiple tasks, such as generated user interfaces, unit testing, control analyses of stimuli, single-command access to descriptive statistics, and publication quality plotting. Taken together, psychopy_ext opens an exciting possibility for a faster, more robust code development and collaboration for researchers. PMID:24478691

  19. A framework for streamlining research workflow in neuroscience and psychology.

    PubMed

    Kubilius, Jonas

    2013-01-01

    Successful accumulation of knowledge is critically dependent on the ability to verify and replicate every part of scientific conduct. However, such principles are difficult to enact when researchers continue to resort on ad-hoc workflows and with poorly maintained code base. In this paper I examine the needs of neuroscience and psychology community, and introduce psychopy_ext, a unifying framework that seamlessly integrates popular experiment building, analysis and manuscript preparation tools by choosing reasonable defaults and implementing relatively rigid patterns of workflow. This structure allows for automation of multiple tasks, such as generated user interfaces, unit testing, control analyses of stimuli, single-command access to descriptive statistics, and publication quality plotting. Taken together, psychopy_ext opens an exciting possibility for a faster, more robust code development and collaboration for researchers.

  20. How Does Neuroscience Inform the Study of Cognitive Development?

    ERIC Educational Resources Information Center

    Nelson, Charles A.; Moulson, Margaret C.; Richmond, Jenny

    2006-01-01

    The fields of developmental psychology and developmental neuroscience have existed independently of one another for many years. This is unfortunate, as knowledge of how the brain develops can inform the study of behavioral development. In this paper, we provide two examples of how knowledge about brain development has improved our understanding of…

  1. How social neuroscience can inform theories of social comparison.

    PubMed

    Swencionis, Jillian K; Fiske, Susan T

    2014-04-01

    Social comparison pervades our interactions with others, informing us of our standing and motivating improvement, but producing negative emotional and behavioral consequences that can harm relationships and lead to poor health outcomes. Social neuroscience research has begun to illuminate some mechanisms by which status divides lead to interpersonal consequences. This review integrates core findings on the neuroscience of social comparison processes, showing the effects of comparing the self to relevant others on dimensions of competence and warmth. The literature converges to suggest that relative status divides initiate social comparison processes, that upward and downward comparisons initiate pain- and pleasure-related neural responses, and that these responses can predict people׳s kindly or aggressive intentions toward one another. Across different types of comparisons, brain regions involved in mentalizing are also sometimes involved. Along with future work, the research reviewed here may inform efforts to mitigate negative outcomes of constant social comparisons.

  2. Pain Research Forum: application of scientific social media frameworks in neuroscience

    PubMed Central

    Das, Sudeshna; McCaffrey, Patricia G.; Talkington, Megan W. T.; Andrews, Neil A.; Corlosquet, Stéphane; Ivinson, Adrian J.; Clark, Tim

    2014-01-01

    Background: Social media has the potential to accelerate the pace of biomedical research through online collaboration, discussions, and faster sharing of information. Focused web-based scientific social collaboratories such as the Alzheimer Research Forum have been successful in engaging scientists in open discussions of the latest research and identifying gaps in knowledge. However, until recently, tools to rapidly create such communities and provide high-bandwidth information exchange between collaboratories in related fields did not exist. Methods: We have addressed this need by constructing a reusable framework to build online biomedical communities, based on Drupal, an open-source content management system. The framework incorporates elements of Semantic Web technology combined with social media. Here we present, as an exemplar of a web community built on our framework, the Pain Research Forum (PRF) (http://painresearchforum.org). PRF is a community of chronic pain researchers, established with the goal of fostering collaboration and communication among pain researchers. Results: Launched in 2011, PRF has over 1300 registered members with permission to submit content. It currently hosts over 150 topical news articles on research; more than 30 active or archived forum discussions and journal club features; a webinar series; an editor-curated weekly updated listing of relevant papers; and several other resources for the pain research community. All content is licensed for reuse under a Creative Commons license; the software is freely available. The framework was reused to develop other sites, notably the Multiple Sclerosis Discovery Forum (http://msdiscovery.org) and StemBook (http://stembook.org). Discussion: Web-based collaboratories are a crucial integrative tool supporting rapid information transmission and translation in several important research areas. In this article, we discuss the success factors, lessons learned, and ongoing challenges in using PRF as

  3. Teaching Empathy: A Framework Rooted in Social Cognitive Neuroscience and Social Justice

    ERIC Educational Resources Information Center

    Gerdes, Karen E.; Segal, Elizabeth A.; Jackson, Kelly F.; Mullins, Jennifer L.

    2011-01-01

    We propose that a targeted and structured explication of empathy is a useful, if not essential, foundation for social work theory and practice. We outline a social work framework for empathy, one that is rooted in an interdisciplinary context, emphasizes recent findings in the field of social cognitive neuroscience, and yet is embedded in a social…

  4. Gain control in molecular information processing: lessons from neuroscience

    NASA Astrophysics Data System (ADS)

    Nemenman, Ilya

    2012-04-01

    Statistical properties of environments experienced by biological signaling systems in the real world change, which necessitates adaptive responses to achieve high fidelity information transmission. One form of such adaptive response is gain control. Here, we argue that a certain simple mechanism of gain control, understood well in the context of systems neuroscience, also works for molecular signaling. The mechanism allows us to transmit more than 1 bit (on or off) of information about the signal independent of the signal variance. It does not require additional molecular circuitry beyond that already present in many molecular systems, and in particular, it does not depend on existence of feedback loops. The mechanism provides a potential explanation for abundance of ultrasensitive response curves in biological regulatory networks.

  5. Research review: a neuroscience framework for pediatric anxiety disorders.

    PubMed

    Pine, Daniel S

    2007-07-01

    Across a range of mammalian species, early developmental variations in fear-related behaviors constrain patterns of anxious behavior throughout life. Individual differences in anxiety among rodents and non-human primates have been shown to reflect early-life influences of genes and the environment on brain circuitry. However, in humans, the manner in which genes and the environment developmentally shape individual differences in anxiety and associated brain circuitry remains poorly specified. The current review presents a conceptual framework that facilitates clinical research examining developmental influences on brain circuitry and anxiety. Research using threat-exposure paradigms might most directly integrate basic and clinical perspectives on pediatric anxiety.

  6. Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework

    PubMed Central

    Ros, Tomas; J. Baars, Bernard; Lanius, Ruth A.; Vuilleumier, Patrik

    2014-01-01

    Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a “black box”. To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from “bottom-up” mechanisms of neural synchronization, followed by “top-down” regulation of internal brain states, moving to dynamical systems plus control-theoretic principles, and concluding with activity-dependent as well as homeostatic forms of brain plasticity. In support of our framework, we examine the effects of NFB in several brain disorders, including attention-deficit hyperactivity (ADHD) and post-traumatic stress disorder (PTSD). In sum, it is argued that pathological oscillations emerge from an abnormal formation of brain-state attractor landscape(s). The central thesis put forward is that NFB tunes brain oscillations toward a homeostatic set-point which affords an optimal balance between network flexibility and stability (i.e., self-organised criticality (SOC)). PMID:25566028

  7. Tuning pathological brain oscillations with neurofeedback: a systems neuroscience framework.

    PubMed

    Ros, Tomas; J Baars, Bernard; Lanius, Ruth A; Vuilleumier, Patrik

    2014-01-01

    Neurofeedback (NFB) is emerging as a promising technique that enables self-regulation of ongoing brain oscillations. However, despite a rise in empirical evidence attesting to its clinical benefits, a solid theoretical basis is still lacking on the manner in which NFB is able to achieve these outcomes. The present work attempts to bring together various concepts from neurobiology, engineering, and dynamical systems so as to propose a contemporary theoretical framework for the mechanistic effects of NFB. The objective is to provide a firmly neurophysiological account of NFB, which goes beyond traditional behaviorist interpretations that attempt to explain psychological processes solely from a descriptive standpoint whilst treating the brain as a "black box". To this end, we interlink evidence from experimental findings that encompass a broad range of intrinsic brain phenomena: starting from "bottom-up" mechanisms of neural synchronization, followed by "top-down" regulation of internal brain states, moving to dynamical systems plus control-theoretic principles, and concluding with activity-dependent as well as homeostatic forms of brain plasticity. In support of our framework, we examine the effects of NFB in several brain disorders, including attention-deficit hyperactivity (ADHD) and post-traumatic stress disorder (PTSD). In sum, it is argued that pathological oscillations emerge from an abnormal formation of brain-state attractor landscape(s). The central thesis put forward is that NFB tunes brain oscillations toward a homeostatic set-point which affords an optimal balance between network flexibility and stability (i.e., self-organised criticality (SOC)).

  8. An introductory review of information theory in the context of computational neuroscience.

    PubMed

    McDonnell, Mark D; Ikeda, Shiro; Manton, Jonathan H

    2011-07-01

    This article introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for two reasons. Simply applying formulae from information theory without understanding the assumptions behind their definitions can lead to erroneous results and conclusions. Furthermore, this century will see a convergence of information theory and neuroscience; information theory will expand its foundations to incorporate more comprehensively biological processes thereby helping reveal how neuronal networks achieve their remarkable information processing abilities.

  9. Using Tinbergen’s Four Questions as the Framework for a Neuroscience Capstone Course

    PubMed Central

    Meitzen, John

    2015-01-01

    Capstone courses for upper-division students are a common feature of the undergraduate neuroscience curriculum. Here is described a method for adapting Nikolaas Tinbergen’s four questions to use as a framework for a neuroscience capstone course, in this case with a particular emphasis on neurotoxins. This course is intended to be a challenging opportunity for students to integrate and apply knowledge and skills gained from their major study, a B.S. in Biological Sciences with a Concentration in Integrative Physiology and Neurobiology. In particular, a broad, integrative approach is favored, with emphasis placed on primary literature, scientific process and effective, professional communication. To achieve this, Tinbergen’s four questions were adapted and implemented as the overarching framework of the course. Tinbergen’s questions range from the proximate to ultimate/evolutionary view, providing an excellent base upon which to teach students an integrative approach to understanding neuroscientific phenomena. For example, a particular neurotoxin can be examined from the proximate level (i.e., mechanism: how does this toxin specifically impact neural physiology) to the ultimate/evolutionary level (i.e., adaptation: why and to what extent did this toxin evolve naturally or the reason that it was initially invented by humans). The mechanics, goals, and objectives of the course are presented as we believe that it will serve as a flexible and useful model for neuroscience capstone courses concerning a wide variety of topics across multiple types of institutions. PMID:26557795

  10. Neuroscience data and tool sharing: a legal and policy framework for neuroinformatics.

    PubMed

    Eckersley, Peter; Egan, Gary F; Amari, Shun-ichi; Beltrame, Francesco; Bennett, Rob; Bjaalie, Jan G; Dalkara, Turgay; De Schutter, Erik; Gonzalez, Carmen; Grillner, Sten; Herz, Andreas; Hoffmann, K Peter; Jaaskelainen, Iiro P; Koslow, Stephen H; Lee, Soo-Young; Matthiessen, Line; Miller, Perry L; da Silva, Fernando Mira; Novak, Mirko; Ravindranath, Viji; Ritz, Raphael; Ruotsalainen, Ulla; Subramaniam, Shankar; Toga, Arthur W; Usui, Shiro; van Pelt, Jaap; Verschure, Paul; Willshaw, David; Wrobel, Andrzej; Tang, Yiyuan

    2003-01-01

    The requirements for neuroinformatics to make a significant impact on neuroscience are not simply technical--the hardware, software, and protocols for collaborative research--they also include the legal and policy frameworks within which projects operate. This is not least because the creation of large collaborative scientific databases amplifies the complicated interactions between proprietary, for-profit R&D and public "open science." In this paper, we draw on experiences from the field of genomics to examine some of the likely consequences of these interactions in neuroscience. Facilitating the widespread sharing of data and tools for neuroscientific research will accelerate the development of neuroinformatics. We propose approaches to overcome the cultural and legal barriers that have slowed these developments to date. We also draw on legal strategies employed by the Free Software community, in suggesting frameworks neuroinformatics might adopt to reinforce the role of public-science databases, and propose a mechanism for identifying and allowing "open science" uses for data whilst still permitting flexible licensing for secondary commercial research.

  11. Approaches to neuroscience data integration

    PubMed Central

    Lim, Ernest; Samwald, Matthias; Chen, Huajun; Marenco, Luis; Holford, Matthew E.; Morse, Thomas M.; Mutalik, Pradeep; Shepherd, Gordon M.; Miller, Perry L.

    2009-01-01

    As the number of neuroscience databases increases, the need for neuroscience data integration grows. This paper reviews and compares several approaches, including the Neuroscience Database Gateway (NDG), Neuroscience Information Framework (NIF) and Entrez Neuron, which enable neuroscience database annotation and integration. These approaches cover a range of activities spanning from registry, discovery and integration of a wide variety of neuroscience data sources. They also provide different user interfaces for browsing, querying and displaying query results. In Entrez Neuron, for example, four different facets or tree views (neuron, neuronal property, gene and drug) are used to hierarchically organize concepts that can be used for querying a collection of ontologies. The facets are also used to define the structure of the query results. PMID:19505888

  12. An Affective Neuroscience Framework for the Molecular Study of Internet Addiction

    PubMed Central

    Montag, Christian; Sindermann, Cornelia; Becker, Benjamin; Panksepp, Jaak

    2016-01-01

    Internet addiction represents an emerging global health issue. Increasing efforts have been made to characterize risk factors for the development of Internet addiction and consequences of excessive Internet use. During the last years, classic research approaches from psychology considering personality variables as vulnerability factor, especially in conjunction with neuroscience approaches such as brain imaging, have led to coherent theoretical conceptualizations of Internet addiction. Although such conceptualizations can be valuable aid, the research field is currently lacking a comprehensive framework for determining brain-based and neurochemical markers of Internet addiction. The present work aims at providing a framework on the molecular level as a basis for future research on the neural and behavioral level, in order to facilitate a comprehensive neurobiological model of Internet addiction and its clinical symptomatology. To help establish such a molecular framework for the study of Internet addiction, we investigated in N = 680 participants associations between individual differences in tendencies toward Internet addiction measured by the Generalized Problematic Internet Use Scale-2 (GPIUS-2) and individual differences in primary emotional systems as assessed by the Affective Neuroscience Personality Scales (ANPS). Regression analysis revealed that the ANPS scales FEAR and SADNESS were the ANPS scales most robustly positively linked to several (sub)scales of the GPIUS-2. Also the scales SEEKING, CARE and PLAY explain variance in some of the GPIUS-2 subscales. As such, these scales are negatively linked to the GPIUS-2 subscales. As the ANPS has been constructed on substantial available brain data including an extensive molecular body with respect to evolutionary highly conserved emotional circuitry in the ancient mammalian brain, the present study gives first ideas on putative molecular mechanisms underlying different facets of Internet addiction as derived

  13. An Affective Neuroscience Framework for the Molecular Study of Internet Addiction.

    PubMed

    Montag, Christian; Sindermann, Cornelia; Becker, Benjamin; Panksepp, Jaak

    2016-01-01

    Internet addiction represents an emerging global health issue. Increasing efforts have been made to characterize risk factors for the development of Internet addiction and consequences of excessive Internet use. During the last years, classic research approaches from psychology considering personality variables as vulnerability factor, especially in conjunction with neuroscience approaches such as brain imaging, have led to coherent theoretical conceptualizations of Internet addiction. Although such conceptualizations can be valuable aid, the research field is currently lacking a comprehensive framework for determining brain-based and neurochemical markers of Internet addiction. The present work aims at providing a framework on the molecular level as a basis for future research on the neural and behavioral level, in order to facilitate a comprehensive neurobiological model of Internet addiction and its clinical symptomatology. To help establish such a molecular framework for the study of Internet addiction, we investigated in N = 680 participants associations between individual differences in tendencies toward Internet addiction measured by the Generalized Problematic Internet Use Scale-2 (GPIUS-2) and individual differences in primary emotional systems as assessed by the Affective Neuroscience Personality Scales (ANPS). Regression analysis revealed that the ANPS scales FEAR and SADNESS were the ANPS scales most robustly positively linked to several (sub)scales of the GPIUS-2. Also the scales SEEKING, CARE and PLAY explain variance in some of the GPIUS-2 subscales. As such, these scales are negatively linked to the GPIUS-2 subscales. As the ANPS has been constructed on substantial available brain data including an extensive molecular body with respect to evolutionary highly conserved emotional circuitry in the ancient mammalian brain, the present study gives first ideas on putative molecular mechanisms underlying different facets of Internet addiction as derived

  14. Management Framework for Information Technologies.

    ERIC Educational Resources Information Center

    Mathezer, Gordon

    1985-01-01

    The development and implementation of an institutional framework to guide the management and use of information technologies (computing, office automation, and telecommunications) at Mount Royal College in Calgary, Alberta, are described. (Author/MLW)

  15. Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition

    NASA Astrophysics Data System (ADS)

    Fitch, W. Tecumseh

    2014-09-01

    Progress in understanding cognition requires a quantitative, theoretical framework, grounded in the other natural sciences and able to bridge between implementational, algorithmic and computational levels of explanation. I review recent results in neuroscience and cognitive biology that, when combined, provide key components of such an improved conceptual framework for contemporary cognitive science. Starting at the neuronal level, I first discuss the contemporary realization that single neurons are powerful tree-shaped computers, which implies a reorientation of computational models of learning and plasticity to a lower, cellular, level. I then turn to predictive systems theory (predictive coding and prediction-based learning) which provides a powerful formal framework for understanding brain function at a more global level. Although most formal models concerning predictive coding are framed in associationist terms, I argue that modern data necessitate a reinterpretation of such models in cognitive terms: as model-based predictive systems. Finally, I review the role of the theory of computation and formal language theory in the recent explosion of comparative biological research attempting to isolate and explore how different species differ in their cognitive capacities. Experiments to date strongly suggest that there is an important difference between humans and most other species, best characterized cognitively as a propensity by our species to infer tree structures from sequential data. Computationally, this capacity entails generative capacities above the regular (finite-state) level; implementationally, it requires some neural equivalent of a push-down stack. I dub this unusual human propensity "dendrophilia", and make a number of concrete suggestions about how such a system may be implemented in the human brain, about how and why it evolved, and what this implies for models of language acquisition. I conclude that, although much remains to be done, a

  16. Toward a computational framework for cognitive biology: unifying approaches from cognitive neuroscience and comparative cognition.

    PubMed

    Fitch, W Tecumseh

    2014-09-01

    Progress in understanding cognition requires a quantitative, theoretical framework, grounded in the other natural sciences and able to bridge between implementational, algorithmic and computational levels of explanation. I review recent results in neuroscience and cognitive biology that, when combined, provide key components of such an improved conceptual framework for contemporary cognitive science. Starting at the neuronal level, I first discuss the contemporary realization that single neurons are powerful tree-shaped computers, which implies a reorientation of computational models of learning and plasticity to a lower, cellular, level. I then turn to predictive systems theory (predictive coding and prediction-based learning) which provides a powerful formal framework for understanding brain function at a more global level. Although most formal models concerning predictive coding are framed in associationist terms, I argue that modern data necessitate a reinterpretation of such models in cognitive terms: as model-based predictive systems. Finally, I review the role of the theory of computation and formal language theory in the recent explosion of comparative biological research attempting to isolate and explore how different species differ in their cognitive capacities. Experiments to date strongly suggest that there is an important difference between humans and most other species, best characterized cognitively as a propensity by our species to infer tree structures from sequential data. Computationally, this capacity entails generative capacities above the regular (finite-state) level; implementationally, it requires some neural equivalent of a push-down stack. I dub this unusual human propensity "dendrophilia", and make a number of concrete suggestions about how such a system may be implemented in the human brain, about how and why it evolved, and what this implies for models of language acquisition. I conclude that, although much remains to be done, a

  17. How neuroscience can inform the study of individual differences in cognitive abilities.

    PubMed

    McFarland, Dennis J

    2017-02-14

    Theories of human mental abilities should be consistent with what is known in neuroscience. Currently, tests of human mental abilities are modeled by cognitive constructs such as attention, working memory, and speed of information processing. These constructs are in turn related to a single general ability. However, brains are very complex systems and whether most of the variability between the operations of different brains can be ascribed to a single factor is questionable. Research in neuroscience suggests that psychological processes such as perception, attention, decision, and executive control are emergent properties of interacting distributed networks. The modules that make up these networks use similar computational processes that involve multiple forms of neural plasticity, each having different time constants. Accordingly, these networks might best be characterized in terms of the information they process rather than in terms of abstract psychological processes such as working memory and executive control.

  18. The Vehicular Information Space Framework

    NASA Astrophysics Data System (ADS)

    Prinz, Vivian; Schlichter, Johann; Schweiger, Benno

    Vehicular networks are distributed, self-organizing and highly mobile ad hoc networks. They allow for providing drivers with up-to-the-minute information about their environment. Therefore, they are expected to be a decisive future enabler for enhancing driving comfort and safety. This article introduces the Vehicular Information Space framework (VIS). Vehicles running the VIS form a kind of distributed database. It enables them to provide information like existing hazards, parking spaces or traffic densities in a location aware and fully distributed manner. In addition, vehicles can retrieve, modify and delete these information items. The underlying algorithm is based on features derived from existing structured Peer-to-Peer algorithms and extended to suit the specific characteristics of highly mobile ad hoc networks. We present, implement and simulate the VIS using a motorway and an urban traffic environment. Simulation studies on VIS message occurrence show that the VIS implies reasonable traffic overhead. Also, overall VIS message traffic is independent from the number of information items provided.

  19. Network neuroscience.

    PubMed

    Bassett, Danielle S; Sporns, Olaf

    2017-02-23

    Despite substantial recent progress, our understanding of the principles and mechanisms underlying complex brain function and cognition remains incomplete. Network neuroscience proposes to tackle these enduring challenges. Approaching brain structure and function from an explicitly integrative perspective, network neuroscience pursues new ways to map, record, analyze and model the elements and interactions of neurobiological systems. Two parallel trends drive the approach: the availability of new empirical tools to create comprehensive maps and record dynamic patterns among molecules, neurons, brain areas and social systems; and the theoretical framework and computational tools of modern network science. The convergence of empirical and computational advances opens new frontiers of scientific inquiry, including network dynamics, manipulation and control of brain networks, and integration of network processes across spatiotemporal domains. We review emerging trends in network neuroscience and attempt to chart a path toward a better understanding of the brain as a multiscale networked system.

  20. A cognitive neuroscience framework for understanding causal reasoning and the law.

    PubMed Central

    Fugelsang, Jonathan A; Dunbar, Kevin N

    2004-01-01

    Over the past couple of decades, there have been great developments in the fields of psychology and cognitive neuroscience that have allowed the advancement of our understanding of how people make judgements about causality in several domains. We provide a review of some of the contemporary psychological models of causal thinking that are directly relevant to legal reasoning. In addition, we cover some exciting new research using advanced neuroimaging techniques that have helped to uncover the underlying neural signatures of complex causal reasoning. Through the use of functional imaging, we provide a first-hand look at how the brain responds to evidence that is either consistent or inconsistent with one's beliefs and expectations. Based on the data covered in this review, we propose some ideas for how the effectiveness of causal reasoning, especially as it pertains to legal decision-making, may be facilitated. PMID:15590615

  1. A cognitive neuroscience framework for understanding causal reasoning and the law.

    PubMed

    Fugelsang, Jonathan A; Dunbar, Kevin N

    2004-11-29

    Over the past couple of decades, there have been great developments in the fields of psychology and cognitive neuroscience that have allowed the advancement of our understanding of how people make judgements about causality in several domains. We provide a review of some of the contemporary psychological models of causal thinking that are directly relevant to legal reasoning. In addition, we cover some exciting new research using advanced neuroimaging techniques that have helped to uncover the underlying neural signatures of complex causal reasoning. Through the use of functional imaging, we provide a first-hand look at how the brain responds to evidence that is either consistent or inconsistent with one's beliefs and expectations. Based on the data covered in this review, we propose some ideas for how the effectiveness of causal reasoning, especially as it pertains to legal decision-making, may be facilitated.

  2. Critical neuroscience meets medical humanities.

    PubMed

    Slaby, Jan

    2015-06-01

    This programmatic theory paper sketches a conceptual framework that might inspire work in critical Medical Humanities. For this purpose, Kaushik Sunder Rajan's account of biocapital is revisited and discussed in relation to the perspective of a critical neuroscience. Critical neuroscience is an encompassing positioning towards the recent public prominence of the brain and brain-related practices, tools and discourses. The proposed analytical scheme has five focal nodes: capital, life, technoscience, (neoliberal) politics and subjectivity. A special emphasis will be placed on contemporary framings of subjectivity, as it is here where deep-reaching entanglements of personhood with scientific practice and discourse, medical and informational technologies, and economic formations are most evident. Notably, the emerging subject position of the 'prospective health consumer' will be discussed as it figures prominently in the terrain between neuroscience and other medico-scientific disciplines.

  3. A Framework for Characterizing Drug Information Sources

    PubMed Central

    Sharp, Mark; Bodenreider, Olivier; Wacholder, Nina

    2008-01-01

    Drug information is complex, voluminous, heterogeneous, and dynamic. Multiple sources are available, each providing some elements of information about drugs (usually for a given purpose), but there exists no integrated view or directory that could be used to locate sources appropriate to a given purpose. We examined 23 sources that provide drug information in the pharmacy, chemistry, biology, and clinical medicine domains. Their drug information content could be categorized with 39 dimensions. We propose this list of dimensions as a framework for characterizing drug information sources. As an evaluation, we show that this framework is useful for comparing drug information sources and selecting sources most relevant to a given use case. PMID:18999182

  4. Leveraging Neuroscience to Inform Adolescent Health: The Need for an Innovative Transdisciplinary Developmental Science of Adolescence.

    PubMed

    Suleiman, Ahna Ballonoff; Dahl, Ronald E

    2017-03-01

    In this article, we consider how to leverage some of the rapid advances in developmental neuroscience in ways that can improve adolescent health. We provide a brief overview of several key areas of scientific progress relevant to these issues. We then focus on two examples of important health problems that increase sharply during adolescence: sleep problems and affective disorders. These examples illustrate how an integrative, developmental science approach provides new insights into treatment and intervention. They also highlight a cornerstone principle: how a deeper understanding of potentially modifiable factors-at key developmental inflection points along the trajectory toward clinical disorders-is beginning to inform, and may eventually transform, a broad range of innovative early intervention strategies to improve adolescent health.

  5. Designing Interventions Informed by Scientific Knowledge About Effects of Early Adversity: A Translational Neuroscience Agenda for Next Generation Addictions Research

    PubMed Central

    Fisher, Philip A.; Berkman, Elliot T.

    2015-01-01

    In spite of extensive scientific knowledge about the neurobiological systems and neural pathways underlying addictions, only limited progress has been made to reduce the population-level incidence of addictions by using prevention and treatment programs. In this area of research the translation of basic neuroscience of causal mechanisms to effective interventions has not been fully realized. In this article we describe how an understanding of the effects of early adverse experiences on brain and biological development may provide new opportunities to achieve impact at scale with respect to reduction of addictions. We propose four categories of new knowledge that translational neuroscience investigations of addictions should incorporate to be successful. We then describe a translational neuroscience-informed smoking cessation intervention based on this model. PMID:26985399

  6. A Framework for Content-based Retrieval of EEG with Applications to Neuroscience and Beyond*

    PubMed Central

    Su, Kyungmin; Robbins, Kay A.

    2014-01-01

    This paper introduces a prototype framework for content-based EEG retrieval (CBER). Like content-based image retrieval, the proposed framework retrieves EEG segments similar to the query EEG segment in a large database. Such retrieval of EEG can be used to assist data mining of brain signals by allowing researchers to understand the association between brain patterns, responses, and the environment. Retrieval might also be used to enhance the accuracy of Brain Computer Interface (BCI) systems by providing related samples for training. We present key components of CBER and explain how to handle the distinctive characteristics of EEG. To demonstrate the feasibility of the framework, we implemented a simple EEG database of about 37,000 samples from more than 100 subjects. We ran two retrieval scenarios with a set of EEG features and evaluation metrics. The results of finding similar subjects clearly demonstrate the potential of CBER in many EEG applications. PMID:24770451

  7. The functional-cognitive framework as a tool for accelerating progress in cognitive neuroscience: On the benefits of bridging rather than reducing levels of analyses.

    PubMed

    Vahey, Nigel; Whelan, Robert

    2016-02-01

    The subject matter of neuroscience research is complex, and synthesising the wealth of data from this research to better understand mental processes is challenging. A useful strategy, therefore, may be to distinguish explicitly between the causal effects of the environment on behaviour (i.e. functional analyses) and the mental processes that mediate these effects (i.e. cognitive analyses). In this article, we describe how the functional-cognitive (F-C) framework can accelerate cognitive neuroscience and also advance a functional treatment of brain activity. We first highlight that cognitive neuroscience can particularly benefit from the F-C approach by providing an alternative to the problematic practice of reducing cognitive constructs to behavioural and/or neural proxies. Next, we outline how functional (behaviour-environment) relations can serve as a bridge between cognitive and neural processes by restoring mental constructs to their original role as heuristic tools. Finally, we give some examples of how both cognitive neuroscience and traditional functional approaches can mutually benefit from the F-C framework.

  8. Pyff – A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience

    PubMed Central

    Venthur, Bastian; Scholler, Simon; Williamson, John; Dähne, Sven; Treder, Matthias S.; Kramarek, Maria T.; Müller, Klaus-Robert; Blankertz, Benjamin

    2010-01-01

    This paper introduces Pyff, the Pythonic feedback framework for feedback applications and stimulus presentation. Pyff provides a platform-independent framework that allows users to develop and run neuroscientific experiments in the programming language Python. Existing solutions have mostly been implemented in C++, which makes for a rather tedious programming task for non-computer-scientists, or in Matlab, which is not well suited for more advanced visual or auditory applications. Pyff was designed to make experimental paradigms (i.e., feedback and stimulus applications) easily programmable. It includes base classes for various types of common feedbacks and stimuli as well as useful libraries for external hardware such as eyetrackers. Pyff is also equipped with a steadily growing set of ready-to-use feedbacks and stimuli. It can be used as a standalone application, for instance providing stimulus presentation in psychophysics experiments, or within a closed loop such as in biofeedback or brain–computer interfacing experiments. Pyff communicates with other systems via a standardized communication protocol and is therefore suitable to be used with any system that may be adapted to send its data in the specified format. Having such a general, open-source framework will help foster a fruitful exchange of experimental paradigms between research groups. In particular, it will decrease the need of reprogramming standard paradigms, ease the reproducibility of published results, and naturally entail some standardization of stimulus presentation. PMID:21160550

  9. The neurosciences and the search for a unified psychology: the science and esthetics of a single framework.

    PubMed

    Stam, Henderikus J

    2015-01-01

    The search for a so-called unified or integrated theory has long served as a goal for some psychologists, even if the search is often implicit. But if the established sciences do not have an explicitly unified set of theories, then why should psychology? After examining this question again I argue that psychology is in fact reasonably unified around its methods and its commitment to functional explanations, an indeterminate functionalism. The question of the place of the neurosciences in this framework is complex. On the one hand, the neuroscientific project will not likely renew and synthesize the disparate arms of psychology. On the other hand, their reformulation of what it means to be human will exert an influence in multiple ways. One way to capture that influence is to conceptualize the brain in terms of a technology that we interact with in a manner that we do not yet fully understand. In this way we maintain both a distance from neuro-reductionism and refrain from committing to an unfettered subjectivity.

  10. The neurosciences and the search for a unified psychology: the science and esthetics of a single framework

    PubMed Central

    Stam, Henderikus J.

    2015-01-01

    The search for a so-called unified or integrated theory has long served as a goal for some psychologists, even if the search is often implicit. But if the established sciences do not have an explicitly unified set of theories, then why should psychology? After examining this question again I argue that psychology is in fact reasonably unified around its methods and its commitment to functional explanations, an indeterminate functionalism. The question of the place of the neurosciences in this framework is complex. On the one hand, the neuroscientific project will not likely renew and synthesize the disparate arms of psychology. On the other hand, their reformulation of what it means to be human will exert an influence in multiple ways. One way to capture that influence is to conceptualize the brain in terms of a technology that we interact with in a manner that we do not yet fully understand. In this way we maintain both a distance from neuro-reductionism and refrain from committing to an unfettered subjectivity. PMID:26500571

  11. Decomposing dendrophilia. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by W. Tecumseh Fitch

    NASA Astrophysics Data System (ADS)

    Honing, Henkjan; Zuidema, Willem

    2014-09-01

    The future of cognitive science will be about bridging neuroscience and behavioral studies, with essential roles played by comparative biology, formal modeling, and the theory of computation. Nowhere will this integration be more strongly needed than in understanding the biological basis of language and music. We thus strongly sympathize with the general framework that Fitch [1] proposes, and welcome the remarkably broad and readable review he presents to support it.

  12. A Framework to Manage Information Models

    NASA Astrophysics Data System (ADS)

    Hughes, J. S.; King, T.; Crichton, D.; Walker, R.; Roberts, A.; Thieman, J.

    2008-05-01

    The Information Model is the foundation on which an Information System is built. It defines the entities to be processed, their attributes, and the relationships that add meaning. The development and subsequent management of the Information Model is the single most significant factor for the development of a successful information system. A framework of tools has been developed that supports the management of an information model with the rigor typically afforded to software development. This framework provides for evolutionary and collaborative development independent of system implementation choices. Once captured, the modeling information can be exported to common languages for the generation of documentation, application databases, and software code that supports both traditional and semantic web applications. This framework is being successfully used for several science information modeling projects including those for the Planetary Data System (PDS), the International Planetary Data Alliance (IPDA), the National Cancer Institute's Early Detection Research Network (EDRN), and several Consultative Committee for Space Data Systems (CCSDS) projects. The objective of the Space Physics Archive Search and Exchange (SPASE) program is to promote collaboration and coordination of archiving activity for the Space Plasma Physics community and ensure the compatibility of the architectures used for a global distributed system and the individual data centers. Over the past several years, the SPASE data model working group has made great progress in developing the SPASE Data Model and supporting artifacts including a data dictionary, XML Schema, and two ontologies. The authors have captured the SPASE Information Model in this framework. This allows the generation of documentation that presents the SPASE Information Model in object-oriented notation including UML class diagrams and class hierarchies. The modeling information can also be exported to semantic web languages such

  13. Educational Neuroscience: Neuroethical Considerations

    ERIC Educational Resources Information Center

    Lalancette, Helene; Campbell, Stephen R.

    2012-01-01

    Research design and methods in educational neuroscience involve using neuroscientific tools such as brain image technologies to investigate cognitive functions and inform educational practices. The ethical challenges raised by research in social neuroscience have become the focus of neuroethics, a sub-discipline of bioethics. More specifically…

  14. Managing information systems: an ethical framework and information needs matrix.

    PubMed

    Caputo, R K

    1991-01-01

    This paper urged administrators in human services to attend to values and ethics in the design and implementation of automated information systems. Toward this end, it presented an ethical framework reasserting the primacy of clients as citizens and encouraging the development of client-driven information systems. Finally, the paper presented the rationale for and two examples of an Information Needs Matrix to assist administrators in their deliberations about allocating discretionary resources among functional units within organizations.

  15. Can Developmental Cognitive Neuroscience Inform Intervention for Social, Emotional and Behavioural Difficulties (SEBD)?

    ERIC Educational Resources Information Center

    Frederickson, Norah; Jones, Alice P.; Warren, Laura; Deakes, Tara; Allen, Geoff

    2013-01-01

    An initial evaluation of the utility of designing an intervention to address neuroscience-based subtyping of children who have conduct problems was undertaken in this pilot study. Drawing on the literature on callous-unemotional traits, a novel intervention programme, "Let's Get Smart", was implemented in a school for children with…

  16. Children's Language Production: How Cognitive Neuroscience and Industrial Engineering Can Inform Public Education Policy and Practice

    ERIC Educational Resources Information Center

    Leisman, Gerry

    2012-01-01

    Little of 150 years of research in Cognitive Neurosciences, Human Factors, and the mathematics of Production Management have found their way into educational policy and certainly not into the classroom or in the production of educational materials in any meaningful or practical fashion. Whilst more mundane concepts of timing, sequencing, spatial…

  17. Unified framework for information integration based on information geometry.

    PubMed

    Oizumi, Masafumi; Tsuchiya, Naotsugu; Amari, Shun-Ichi

    2016-12-20

    Assessment of causal influences is a ubiquitous and important subject across diverse research fields. Drawn from consciousness studies, integrated information is a measure that defines integration as the degree of causal influences among elements. Whereas pairwise causal influences between elements can be quantified with existing methods, quantifying multiple influences among many elements poses two major mathematical difficulties. First, overestimation occurs due to interdependence among influences if each influence is separately quantified in a part-based manner and then simply summed over. Second, it is difficult to isolate causal influences while avoiding noncausal confounding influences. To resolve these difficulties, we propose a theoretical framework based on information geometry for the quantification of multiple causal influences with a holistic approach. We derive a measure of integrated information, which is geometrically interpreted as the divergence between the actual probability distribution of a system and an approximated probability distribution where causal influences among elements are statistically disconnected. This framework provides intuitive geometric interpretations harmonizing various information theoretic measures in a unified manner, including mutual information, transfer entropy, stochastic interaction, and integrated information, each of which is characterized by how causal influences are disconnected. In addition to the mathematical assessment of consciousness, our framework should help to analyze causal relationships in complex systems in a complete and hierarchical manner.

  18. Unified framework for information integration based on information geometry

    PubMed Central

    Oizumi, Masafumi; Amari, Shun-ichi

    2016-01-01

    Assessment of causal influences is a ubiquitous and important subject across diverse research fields. Drawn from consciousness studies, integrated information is a measure that defines integration as the degree of causal influences among elements. Whereas pairwise causal influences between elements can be quantified with existing methods, quantifying multiple influences among many elements poses two major mathematical difficulties. First, overestimation occurs due to interdependence among influences if each influence is separately quantified in a part-based manner and then simply summed over. Second, it is difficult to isolate causal influences while avoiding noncausal confounding influences. To resolve these difficulties, we propose a theoretical framework based on information geometry for the quantification of multiple causal influences with a holistic approach. We derive a measure of integrated information, which is geometrically interpreted as the divergence between the actual probability distribution of a system and an approximated probability distribution where causal influences among elements are statistically disconnected. This framework provides intuitive geometric interpretations harmonizing various information theoretic measures in a unified manner, including mutual information, transfer entropy, stochastic interaction, and integrated information, each of which is characterized by how causal influences are disconnected. In addition to the mathematical assessment of consciousness, our framework should help to analyze causal relationships in complex systems in a complete and hierarchical manner. PMID:27930289

  19. An Information Fusion Framework for Threat Assessment

    SciTech Connect

    Beaver, Justin M; Kerekes, Ryan A; Treadwell, Jim N

    2009-01-01

    Modern enterprises are becoming increasingly sensitive to the potential destructive power of small groups or individuals with malicious intent. In response, significant investments are being made in developing a means to assess the likelihood of certain threats to their enterprises. Threat assessment needs are typically focused in very specific application areas where current processes rely heavily on human analysis to both combine any available data and draw conclusions about the probability of a threat. A generic approach to threat assessment is proposed, including a threat taxonomy and decision-level information fusion framework, that provides a computational means for merging multi-modal data for the purpose of assessing the presence of a threat. The framework is designed for flexibility, and intentionally accounts for the accuracy of each data source, given the environmental conditions, in order to manage the uncertainty associated with any acquired data. The taxonomy and information fusion framework is described, and discussed in the context of real-world applications such as shipping container security and cyber security.

  20. The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.

    PubMed

    Bug, William J; Ascoli, Giorgio A; Grethe, Jeffrey S; Gupta, Amarnath; Fennema-Notestine, Christine; Laird, Angela R; Larson, Stephen D; Rubin, Daniel; Shepherd, Gordon M; Turner, Jessica A; Martone, Maryann E

    2008-09-01

    A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology for describing and retrieving neuroscience-relevant resources. Although the original NIF specification called for a loosely structured controlled vocabulary for describing neuroscience resources, as the NIF system evolved, the requirement for a formally structured ontology for neuroscience with sufficient granularity to describe and access a diverse collection of information became obvious. This requirement led to the NIF standardized (NIFSTD) ontology, a comprehensive collection of common neuroscience domain terminologies woven into an ontologically consistent, unified representation of the biomedical domains typically used to describe neuroscience data (e.g., anatomy, cell types, techniques), as well as digital resources (tools, databases) being created throughout the neuroscience community. NIFSTD builds upon a structure established by the BIRNLex, a lexicon of concepts covering clinical neuroimaging research developed by the Biomedical Informatics Research Network (BIRN) project. Each distinct domain module is represented using the Web Ontology Language (OWL). As much as has been practical, NIFSTD reuses existing community ontologies that cover the required biomedical domains, building the more specific concepts required to annotate NIF resources. By following this principle, an extensive vocabulary was assembled in a relatively short period of time for NIF information annotation, organization, and retrieval, in a form that promotes easy extension and modification. We report here on the structure of the NIFSTD, and its predecessor BIRNLex, the principles followed in its construction and provide examples of its use within NIF.

  1. Understanding vulnerability for depression from a cognitive neuroscience perspective: A reappraisal of attentional factors and a new conceptual framework.

    PubMed

    De Raedt, Rudi; Koster, Ernst H W

    2010-03-01

    We propose a framework to understand increases in vulnerability for depression after recurrent episodes that links attention processes and schema activation to negative mood states, by integrating cognitive and neurobiological findings. Depression is characterized by a mood-congruent attentional bias at later stages of information processing. The basic idea of our framework is that decreased activity in prefrontal areas, mediated by the serotonin metabolism which the HPA axis controls, is associated with an impaired attenuation of subcortical regions, resulting in prolonged activation of the amygdala in response to stressors in the environment. Reduced prefrontal control in interaction with depressogenic schemas leads to impaired ability to exert attentional inhibitory control over negative elaborative processes such as rumination, leading in turn to sustained negative affect. These elaborative processes are triggered by the activation of negative schemas after confrontation with stressors. In our framework, attentional impairments are postulated as a crucial process in explaining the increasing vulnerability after depressive episodes, linking cognitive and biological vulnerability factors. We review the empirical data on the biological factors associated with the attentional impairments and detail how they are associated with rumination and mood regulation. The aim of our framework is to stimulate translational research.

  2. [Research on tumor information grid framework].

    PubMed

    Zhang, Haowei; Qin, Zhu; Liu, Ying; Tan, Jianghao; Cao, Haitao; Chen, Youping; Zhang, Ke; Ding, Yuqing

    2013-10-01

    In order to realize tumor disease information sharing and unified management, we utilized grid technology to make the data and software resources which distributed in various medical institutions for effective integration so that we could make the heterogeneous resources consistent and interoperable in both semantics and syntax aspects. This article describes the tumor grid framework, the type of the service being packaged in Web Service Description Language (WSDL) and extensible markup language schemas definition (XSD), the client use the serialized document to operate the distributed resources. The service objects could be built by Unified Modeling Language (UML) as middle ware to create application programming interface. All of the grid resources are registered in the index and released in the form of Web Services based on Web Services Resource Framework (WSRF). Using the system we can build a multi-center, large sample and networking tumor disease resource sharing framework to improve the level of development in medical scientific research institutions and the patient's quality of life.

  3. The Allocation of Attention to Learning of Goal-Directed Actions: A Cognitive Neuroscience Framework Focusing on the Basal Ganglia

    PubMed Central

    Franz, E. A.

    2012-01-01

    The present paper builds on the idea that attention is largely in service of our actions. A framework and model which captures the allocation of attention for learning of goal-directed actions is proposed and developed. This framework highlights an evolutionary model based on the notion that rudimentary functions of the basal ganglia have become embedded into increasingly higher levels of networks which all contribute to adaptive learning. Supporting the proposed model, background literature is presented alongside key evidence based on experimental studies in the so-called “split-brain” (surgically divided cerebral hemispheres), and selected evidence from related areas of research. Although overlap with other existing findings and models is acknowledged, the proposed framework is an original synthesis of cognitive experimental findings with supporting evidence of a neural system and a carefully formulated model of attention. It is the hope that this new synthesis will be informative in fields of cognition and other fields of brain sciences and will lead to new avenues for experimentation across domains. PMID:23267335

  4. Interactionist Neuroscience.

    PubMed

    Badre, David; Frank, Michael J; Moore, Christopher I

    2015-12-02

    We argue that bidirectional interaction between animal and human studies is essential for understanding the human brain. The revolution in meso-scale study of circuits in non-human species provides a historical opportunity. However, to fully realize its potential requires integration with human neuroscience. We describe three strategies for successful interactionist neuroscience.

  5. Telemedicine in neurosciences.

    PubMed

    Ganapathy, K; Ravindra, Aditi

    2008-01-01

    It is well known that in most countries, there is a perennial shortage of specialists in neurosciences. Even the few available neurologists and neurosurgeons are clustered in the metros and urban areas. Those living in suburban and rural areas have limited or no access to neurological care. At the same time there has been an unprecedented growth in ICT (Information and Communication Technology). In this article, the authors review the increasing use of telemedicine in neurosciences.

  6. A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior.

    PubMed

    Bassett, Danielle S; Mattar, Marcelo G

    2017-04-01

    Humans adapt their behavior to their external environment in a process often facilitated by learning. Efforts to describe learning empirically can be complemented by quantitative theories that map changes in neurophysiology to changes in behavior. In this review we highlight recent advances in network science that offer a sets of tools and a general perspective that may be particularly useful in understanding types of learning that are supported by distributed neural circuits. We describe recent applications of these tools to neuroimaging data that provide unique insights into adaptive neural processes, the attainment of knowledge, and the acquisition of new skills, forming a network neuroscience of human learning. While promising, the tools have yet to be linked to the well-formulated models of behavior that are commonly utilized in cognitive psychology. We argue that continued progress will require the explicit marriage of network approaches to neuroimaging data and quantitative models of behavior.

  7. How the early voltage clamp studies of José del Castillo inform "modern" neuroscience.

    PubMed

    Zottoli, Steven J

    2012-10-01

    The description of ionic currents that flow across the membrane of the squid giant axon during an action potential sparked an interest in determining whether there were similar currents in vertebrates. The preparation of choice was the node of Ranvier in single myelinated fibers in frog. José del Castillo spent 3 years on the United States mainland from 1956 to 1959. During that time, he collaborated with Jerome Y. Lettvin and John W. Moore. I discuss how these individuals met one another and some of their scientific discoveries using the voltage clamp to study squid giant axons and frog nodes. Much of this work was conducted at the Marine Biological Laboratory in Woods Hole, MA, and I attempt to convey a sense of the unique scientific "melting pot" that existed at the Marine Biological Laboratory and the broader effect that del Castillo had on "modern" neuroscience.

  8. A Social Neuroscience Perspective on Adolescent Risk-Taking

    ERIC Educational Resources Information Center

    Steinberg, Laurence

    2008-01-01

    This article proposes a framework for theory and research on risk-taking that is informed by developmental neuroscience. Two fundamental questions motivate this review. First, why does risk-taking increase between childhood and adolescence? Second, why does risk-taking decline between adolescence and adulthood? Risk-taking increases between…

  9. Culture in the mind's mirror: how anthropology and neuroscience can inform a model of the neural substrate for cultural imitative learning.

    PubMed

    Losin, Elizabeth A Reynolds; Dapretto, Mirella; Iacoboni, Marco

    2009-01-01

    Cultural neuroscience, the study of how cultural experience shapes the brain, is an emerging subdiscipline in the neurosciences. Yet, a foundational question to the study of culture and the brain remains neglected by neuroscientific inquiry: "How does cultural information get into the brain in the first place?" Fortunately, the tools needed to explore the neural architecture of cultural learning - anthropological theories and cognitive neuroscience methodologies - already exist; they are merely separated by disciplinary boundaries. Here we review anthropological theories of cultural learning derived from fieldwork and modeling; since cultural learning theory suggests that sophisticated imitation abilities are at the core of human cultural learning, we focus our review on cultural imitative learning. Accordingly we proceed to discuss the neural underpinnings of imitation and other mechanisms important for cultural learning: learning biases, mental state attribution, and reinforcement learning. Using cultural neuroscience theory and cognitive neuroscience research as our guides, we then propose a preliminary model of the neural architecture of cultural learning. Finally, we discuss future studies needed to test this model and fully explore and explain the neural underpinnings of cultural imitative learning.

  10. Neuroscientific information bias in metacomprehension: the effect of brain images on metacomprehension judgment of neuroscience research.

    PubMed

    Ikeda, Kenji; Kitagami, Shinji; Takahashi, Tomoyo; Hattori, Yosuke; Ito, Yuichi

    2013-12-01

    In the present study, we investigated how brain images affect metacomprehension judgments of neuroscience research. Participants made a prereading judgment of comprehension of the text topic and then read a text about neuroimaging findings. In Experiment 1, participants read text only or text accompanying brain images. In Experiment 2, participants read text accompanying bar graphs or text accompanying brain images. Then participants were asked to rate their comprehension of the text. Finally, they completed comprehension tests. The results of Experiment 1 showed that the text accompanying brain images was associated with higher metacomprehension judgments than was the text only, whereas the performance of the comprehension test did not differ between each condition. The results of Experiment 2 showed that the text accompanying brain images was associated not only with credibility of the text, but also with higher metacomprehension judgments than was the text accompanying the bar graphs, whereas the performance of the comprehension test did not differ between each condition. The findings suggest that the readers' subjective judgments differ from actual comprehension.

  11. Educating the adult brain: How the neuroscience of learning can inform educational policy

    NASA Astrophysics Data System (ADS)

    Knowland, Victoria C. P.; Thomas, Michael S. C.

    2014-05-01

    The acquisition of new skills in adulthood can positively affect an individual's quality of life, including their earning potential. In some cases, such as the learning of literacy in developing countries, it can provide an avenue to escape from poverty. In developed countries, job retraining in adulthood contributes to the flexibility of labour markets. For all adults, learning opportunities increase participation in society and family life. However, the popular view is that adults are less able to learn for an intrinsic reason: their brains are less plastic than in childhood. This article reviews what is currently known from neuroscientific research about how brain plasticity changes with age, with a particular focus on the ability to acquire new skills in adulthood. Anchoring their review in the examples of the adult acquisition of literacy and new motor skills, the authors address five specific questions: (1) Are sensitive periods in brain development relevant to learning complex educational skills like literacy? (2) Can adults become proficient in a new skill? (3) Can everyone learn equally effectively in adulthood? (4) What is the role of the learning environment? (5) Does adult education cost too much? They identify areas where further research is needed and conclude with a summary of principles for enhancing adult learning now established on a neuroscience foundation.

  12. The cognitive neuroscience toolkit for the neuroeconomist: A functional overview

    PubMed Central

    Kable, Joseph W.

    2011-01-01

    This article provides the beginning neuroeconomist with an introductory overview to the different methods used in human neuroscience. It describes basic strengths and weaknesses of each technique, points to examples of how each technique has been used in neuroeconomic studies, and provides key tutorial references that contain more detailed information. In addition to this overview, the article presents a framework that organizes human neuroscience methods functionally, according to whether they provide tests of the association between brain activity and cognition or behavior, or whether they test the necessity or the sufficiency of brain activity for cognition and behavior. This framework demonstrates the utility of a multi-method research approach, since converging evidence from tests of association, necessity and sufficiency provides the strongest inference regarding brain-behavior relationships. Set against this goal of converging evidence, human neuroscience studies in neuroeconomics currently rely far too heavily on methods that test association, most notably functional MRI. PMID:21796272

  13. Towards a synergy framework across neuroscience and robotics: Lessons learned and open questions. Reply to comments on: "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands"

    NASA Astrophysics Data System (ADS)

    Santello, Marco; Bianchi, Matteo; Gabiccini, Marco; Ricciardi, Emiliano; Salvietti, Gionata; Prattichizzo, Domenico; Ernst, Marc; Moscatelli, Alessandro; Jorntell, Henrik; Kappers, Astrid M. L.; Kyriakopoulos, Kostas; Schaeffer, Alin Abu; Castellini, Claudio; Bicchi, Antonio

    2016-07-01

    We would like to thank all commentators for their insightful commentaries. Thanks to their diverse and complementary expertise in neuroscience and robotics, the commentators have provided us with the opportunity to further discuss state-of-the-art and gaps in the integration of neuroscience and robotics reviewed in our article. We organized our reply in two sections that capture the main points of all commentaries [1-9]: (1) Advantages and limitations of the synergy approach in neuroscience and robotics, and (2) Learning and role of sensory feedback in biological and robotics synergies.

  14. Informing Educational Decisions in the Early Years: Can Evidence for Improving Pedagogy for Children with Autistic Spectrum Disorder Be Found from Neuroscience?

    ERIC Educational Resources Information Center

    Peters, Brenda; Forlin, Chris

    2011-01-01

    It is possible that many benefits may be found for all concerned in education and child development in understanding how knowledge of the brain and its development can inform early years practice. This article, written by Brenda Peters and Chris Forlin, both from the Hong Kong Institute of Education, reviews literature based on neuroscience to…

  15. SHIFT: Shared Information Framework and Technology Concept

    DTIC Science & Technology

    2009-02-01

    awareness tools ................................................................29 4.5.1. Map interface and GIS services...information). The information in the SHIFT situational picture can also be exported to other services. 4.5.1. Map interface and GIS services...drawings. A metadata about map quality is essential information and it can be presented as well. Geographic Information System ( GIS ) services offered by

  16. Achieving Information Dominance: Unleashing the Ozone Widget Framework

    DTIC Science & Technology

    2014-06-01

    1 19 th ICCRTS “C2 Agility: Lessons Learned From Research and Operations” For the paper titled: Achieving Information Dominance : Unleashing...00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE Achieving Information Dominance : Unleashing the Ozone Widget Framework 5a. CONTRACT NUMBER 5b...Abstract for Achieving Information Dominance : Unleashing the Ozone Widget Framework One of the key lessons learned from analysis of Joint operations

  17. Cultural Neuroscience: Progress and Promise

    PubMed Central

    Chiao, Joan Y.; Cheon, Bobby K.; Pornpattanangkul, Narun; Mrazek, Alissa J.; Blizinsky, Katherine D.

    2013-01-01

    The nature and origin of human diversity has been a source of intellectual curiosity since the beginning of human history. Contemporary advances in cultural and biological sciences provide unique opportunities for the emerging field of cultural neuroscience. Research in cultural neuroscience examines how cultural and genetic diversity shape the human mind, brain and behavior across multiple time scales: situation, ontogeny and phylogeny. Recent progress in cultural neuroscience provides novel theoretical frameworks for understanding the complex interaction of environmental, cultural and genetic factors in the production of adaptive human behavior. Here, we provide a brief history of cultural neuroscience, theoretical and methodological advances, as well as empirical evidence of the promise of and progress in the field. Implications of this research for population health disparities and public policy are discussed. PMID:23914126

  18. Framework for an Information Visualization System

    SciTech Connect

    Risch, John; Dowson, Scott; Hatley, Wes

    2006-08-11

    The Program is a suite of Windows-based software applications and services for ingesting, storing, and analyzing large quantities of disparate inforamtion. The software supports the ingestion and storage of any information that can be represented in eXtensible Markup Language (XML) format. Stored information can be subsequently retrieved via search operations, then "visualized" in multiple ways using a client application that supports a variety of analytical functions. Visualization capabilities include tools for depicting a variety of relationships that may be present in the information, including geospatial, temporal, topical, categorical, and network relationships.

  19. Information Interaction: Providing a Framework for Information Architecture.

    ERIC Educational Resources Information Center

    Toms, Elaine G.

    2002-01-01

    Discussion of information architecture focuses on a model of information interaction that bridges the gap between human and computer and between information behavior and information retrieval. Illustrates how the process of information interaction is affected by the user, the system, and the content. (Contains 93 references.) (LRW)

  20. Teaching for Transfer: Reconciling the Framework with Disciplinary Information Literacy

    ERIC Educational Resources Information Center

    Kuglitsch, Rebecca Z.

    2015-01-01

    This article explores the tension between information literacy as a generalizable skill and as a skill within the disciplines. The new ACRL Framework for Information Literacy for Higher Education addresses many challenges facing the previous ACRL Information Literacy Competency Standards for Higher Education, but the tension between disciplinary…

  1. Framework for a clinical information system.

    PubMed

    Van De Velde, R; Lansiers, R; Antonissen, G

    2002-01-01

    The design and implementation of Clinical Information System architecture is presented. This architecture has been developed and implemented based on components following a strong underlying conceptual and technological model. Common Object Request Broker and n-tier technology featuring centralised and departmental clinical information systems as the back-end store for all clinical data are used. Servers located in the "middle" tier apply the clinical (business) model and application rules. The main characteristics are the focus on modelling and reuse of both data and business logic. Scalability as well as adaptability to constantly changing requirements via component driven computing are the main reasons for that approach.

  2. Challenges and opportunities in mining neuroscience data.

    PubMed

    Akil, Huda; Martone, Maryann E; Van Essen, David C

    2011-02-11

    Understanding the brain requires a broad range of approaches and methods from the domains of biology, psychology, chemistry, physics, and mathematics. The fundamental challenge is to decipher the "neural choreography" associated with complex behaviors and functions, including thoughts, memories, actions, and emotions. This demands the acquisition and integration of vast amounts of data of many types, at multiple scales in time and in space. Here we discuss the need for neuroinformatics approaches to accelerate progress, using several illustrative examples. The nascent field of "connectomics" aims to comprehensively describe neuronal connectivity at either a macroscopic level (in long-distance pathways for the entire brain) or a microscopic level (among axons, dendrites, and synapses in a small brain region). The Neuroscience Information Framework (NIF) encompasses all of neuroscience and facilitates the integration of existing knowledge and databases of many types. These examples illustrate the opportunities and challenges of data mining across multiple tiers of neuroscience information and underscore the need for cultural and infrastructure changes if neuroinformatics is to fulfill its potential to advance our understanding of the brain.

  3. Framework for a clinical information system.

    PubMed

    Van de Velde, R

    2000-01-01

    The current status of our work towards the design and implementation of a reference architecture for a Clinical Information System is presented. This architecture has been developed and implemented based on components following a strong underlying conceptual and technological model. Common Object Request Broker and n-tier technology featuring centralised and departmental clinical information systems as the back-end store for all clinical data are used. Servers located in the 'middle' tier apply the clinical (business) model and application rules to communicate with so-called 'thin client' workstations. The main characteristics are the focus on modelling and reuse of both data and business logic as there is a shift away from data and functional modelling towards object modelling. Scalability as well as adaptability to constantly changing requirements via component driven computing are the main reasons for that approach.

  4. Neuroimaging of attention-deficit/hyperactivity disorder: current neuroscience-informed perspectives for clinicians.

    PubMed

    Cortese, Samuele; Castellanos, F Xavier

    2012-10-01

    The neuroimaging literature on attention-deficit/hyperactivity disorder (ADHD) is growing rapidly. Here, we provide a critical overview of neuroimaging studies published recently, highlighting perspectives that may be of relevance for clinicians. After a comprehensive search of PubMed, Ovid, Web of Science, and EMBASE, we located 41 pertinent papers published between January 2011 and April 2012, comprising both structural and functional neuroimaging studies. This literature is increasingly contributing to the notion that the pathophysiology of ADHD reflects abnormal interplay among large-scale brain circuits. Moreover, recent studies have begun to reveal the mechanisms of action of pharmacological treatment. Finally, imaging studies with a developmental perspective are revealing the brain correlates of ADHD over the lifespan, complementing clinical observations on the phenotypic continuity and discontinuity of the disorder. However, despite the increasing potential to eventually inform clinical practice, current imaging studies do not have validated applications in day-to-day clinical practice. Although novel analytical techniques are likely to accelerate the pace of translational applications, at the present we advise caution regarding inappropriate commercial misuse of imaging techniques in ADHD.

  5. Hungry for reward: How can neuroscience inform the development of treatment for Anorexia Nervosa?

    PubMed

    Park, Rebecca J; Godier, Lauren R; Cowdrey, Felicity A

    2014-11-01

    Dysfunctional reward from the pursuit of thinness presents a major challenge to recovery from Anorexia Nervosa (AN). We explore the neuroscientific basis of aberrant reward in AN, with the aim of generating novel hypotheses for translational investigation, and elucidate disease mechanisms to inform the development of targeted interventions. Relevant neuroimaging and behavioural studies are reviewed. These suggest that altered eating in AN may be a consequence of aberrant reward processing combined with exaggerated cognitive control. We consider evidence that such aberrant reward processing is reflected in the compulsive behaviours characterising AN, with substantial overlap in the neural circuits implicated in reward processing and compulsivity. Drawing on contemporary neuroscientific theories of substance dependence, processes underpinning the shift from the initially rewarding pursuit of thinness to extreme and compulsive weight control behaviours are discussed. It is suggested that in AN, weight loss behaviour begins as overtly rewarding, goal-directed and positively reinforced, but over time becomes habitual and increasingly negatively reinforced. Excessive habit formation is suggested as one underlying mechanism perpetuating compulsive behaviour. Ongoing research into the behavioural and neural basis of aberrant reward in AN is required to further elucidate mechanisms. We discuss clinical and transdiagnostic implications, and propose that future treatment innovation may benefit from the development of novel interventions targeting aberrant reward processing in AN.

  6. Information and Knowledge: An Evolutionary Framework for Information Science

    ERIC Educational Resources Information Center

    Bates, Marcia J.

    2005-01-01

    Background: Many definitions of information, knowledge, and data have been suggested throughout the history of information science. In this article, the objective is to provide definitions that are usable for the physical, biological, and social meanings of the terms, covering the various senses important to our field. Argument: Information 1 is…

  7. Cognitive theory and brain fact: Insights for the future of cognitive neuroscience. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by W. Tecumseh Fitch

    NASA Astrophysics Data System (ADS)

    Bowling, Daniel

    2014-09-01

    A central challenge in neuroscience is to understand the relationship between the mechanistic operation of the nervous system and the psychological phenomena we experience everyday (e.g., perception, memory, attention, emotion, and consciousness). Supported by revolutionary advances in technology, knowledge of neural mechanisms has grown dramatically over recent decades, but with few exceptions our understanding of how these mechanisms relate to psychological phenomena remains poor.

  8. An Information Technology Framework for Strengthening Telehealthcare Service Delivery

    PubMed Central

    Chen, Chi-Wen; Weng, Yung-Ching; Shang, Rung-Ji; Yu, Hui-Chu; Chung, Yufang; Lai, Feipei

    2012-01-01

    Abstract Objective: Telehealthcare has been used to provide healthcare service, and information technology infrastructure appears to be essential while providing telehealthcare service. Insufficiencies have been identified, such as lack of integration, need of accommodation of diverse biometric sensors, and accessing diverse networks as different houses have varying facilities, which challenge the promotion of telehealthcare. This study designs an information technology framework to strengthen telehealthcare delivery. Materials and Methods: The proposed framework consists of a system architecture design and a network transmission design. The aim of the framework is to integrate data from existing information systems, to adopt medical informatics standards, to integrate diverse biometric sensors, and to provide different data transmission networks to support a patient's house network despite the facilities. The proposed framework has been evaluated with a case study of two telehealthcare programs, with and without the adoption of the framework. Results: The proposed framework facilitates the functionality of the program and enables steady patient enrollments. The overall patient participations are increased, and the patient outcomes appear positive. The attitudes toward the service and self-improvement also are positive. Conclusions: The findings of this study add up to the construction of a telehealthcare system. Implementing the proposed framework further assists the functionality of the service and enhances the availability of the service and patient acceptances. PMID:23061641

  9. Brains rule! fun = learning = neuroscience literacy.

    PubMed

    Zardetto-Smith, Andrea M; Mu, Keli; Phelps, Cynthia L; Houtz, Lynne E; Royeen, Charlotte B

    2002-10-01

    Brains Rule! Neuroscience Expositions is a project designed to improve neuroscience literacy among children and the general public by applying a model where neuroscience professionals transfer knowledge and enthusiasm about neuroscience through fun, engaging hands-on activities. This educational model draws strength from many national and local partnerships of neuroscience professionals to coordinate expositions across the country in a variety of local communities. Brains Rule! Neuroscience Expositions uses a flexible science fair-like format to engage children in the process of science and teach about neuroscience concepts, facts, and professions. Neuroscience literacy is important to everyday life and helps individuals better understand themselves, make informed decisions about health and drug use, participate knowledgeably in governmental and social issues, and better understand scientific advancements. In this study, children's ratings of Brains Rule! Neuroscience Expositions activities were analyzed both quantitatively and qualitatively. Analysis of the responses revealed that overall the children perceived the learning activities as fun and interesting and believed that they learned something about the brain and nervous system after engaging in the activities. The Brains Rule! Neuroscience Expositions education model can be an effective tool in improving neuroscience literacy for both children and adults.

  10. A Secure Information Framework with APRQ Properties

    NASA Astrophysics Data System (ADS)

    Rupa, Ch.

    2016-08-01

    Internet of the things is the most trending topics in the digital world. Security issues are rampant. In the corporate or institutional setting, security risks are apparent from the outset. Market leaders are unable to use the cryptographic techniques due to their complexities. Hence many bits of private information, including ID, are readily available for third parties to see and to utilize. There is a need to decrease the complexity and increase the robustness of the cryptographic approaches. In view of this, a new cryptographic technique as good encryption pact with adjacency, random prime number and quantum code properties has been proposed. Here, encryption can be done by using quantum photons with gray code. This approach uses the concepts of physics and mathematics with no external key exchange to improve the security of the data. It also reduces the key attacks by generation of a key at the party side instead of sharing. This method makes the security more robust than with the existing approach. Important properties of gray code and quantum are adjacency property and different photons to a single bit (0 or 1). These can reduce the avalanche effect. Cryptanalysis of the proposed method shows that it is resistant to various attacks and stronger than the existing approaches.

  11. A Framework for Thinking about Informal Statistical Inference

    ERIC Educational Resources Information Center

    Makar, Katie; Rubin, Andee

    2009-01-01

    Informal inferential reasoning has shown some promise in developing students' deeper understanding of statistical processes. This paper presents a framework to think about three key principles of informal inference--generalizations "beyond the data," probabilistic language, and data as evidence. The authors use primary school classroom…

  12. Background Information Framework for the National Assessment of Educational Progress.

    ERIC Educational Resources Information Center

    National Assessment Governing Board, Washington, DC.

    This framework will define the purpose and scope of NAEP's system of collecting background information, including background questionnaires and other sources of non-cognitive data. It will establish criteria for reporting background information as part of the National Assessment. The approach it suggests provides for asking various groups of…

  13. First Thoughts on Implementing the Framework for Information Literacy

    ERIC Educational Resources Information Center

    Jacobson, Trudi E.; Gibson, Craig

    2015-01-01

    Following the action of the ACRL Board in February 2015 in accepting the "Framework for Information Literacy for Higher Education" as one of the "constellation of documents" that promote and guide information literacy instruction and program development, discussion in the library community continues about steps in implementing…

  14. An ontology-based collaborative service framework for agricultural information

    Technology Transfer Automated Retrieval System (TEKTRAN)

    In recent years, China has developed modern agriculture energetically. An effective information framework is an important way to provide farms with agricultural information services and improve farmer's production technology and their income. The mountain areas in central China are dominated by agri...

  15. Public Access to Government Electronic Information. Policy Framework.

    ERIC Educational Resources Information Center

    Bulletin of the American Society for Information Science, 1992

    1992-01-01

    This policy framework provides guidelines for federal agencies on public access to government electronic information. Highlights include reasons for disseminating information; defining user groups; which technology to use; pricing flexibility; security and privacy issues; and the private sector and state and local government roles. (LRW)

  16. A Statistical Framework to Infer Delay and Direction of Information Flow from Measurements of Complex Systems.

    PubMed

    Schumacher, Johannes; Wunderle, Thomas; Fries, Pascal; Jäkel, Frank; Pipa, Gordon

    2015-08-01

    In neuroscience, data are typically generated from neural network activity. The resulting time series represent measurements from spatially distributed subsystems with complex interactions, weakly coupled to a high-dimensional global system. We present a statistical framework to estimate the direction of information flow and its delay in measurements from systems of this type. Informed by differential topology, gaussian process regression is employed to reconstruct measurements of putative driving systems from measurements of the driven systems. These reconstructions serve to estimate the delay of the interaction by means of an analytical criterion developed for this purpose. The model accounts for a range of possible sources of uncertainty, including temporally evolving intrinsic noise, while assuming complex nonlinear dependencies. Furthermore, we show that if information flow is delayed, this approach also allows for inference in strong coupling scenarios of systems exhibiting synchronization phenomena. The validity of the method is demonstrated with a variety of delay-coupled chaotic oscillators. In addition, we show that these results seamlessly transfer to local field potentials in cat visual cortex.

  17. Conceptual Framework for Developing a Diabetes Information Network

    PubMed Central

    Riazi, Hossein; Langarizadeh, Mostafa; Larijani, Bagher; Shahmoradi, Leila

    2016-01-01

    Objective: To provide a conceptual framework for managing diabetic patient care, and creating an information network for clinical research. Background: A wide range of information technology (IT) based interventions such as distance learning, diabetes registries, personal or electronic health record systems, clinical information systems, and clinical decision support systems have so far been used in supporting diabetic care. Previous studies demonstrated that IT could improve diabetes care at its different aspects. There is however no comprehensive conceptual framework that defines how different IT applications can support diverse aspects of this care. Therefore, a conceptual framework that combines different IT solutions into a wide information network for improving care processes and for research purposes is widely lacking. In this study we describe the theoretical underpin of a big project aiming at building a wide diabetic information network namely DIANET. Research design and methods: A literature review and a survey of national programs and existing regulations for diabetes management was conducted in order to define different aspects of diabetic care that should be supported by IT solutions. Both qualitative and quantitative research methods were used in this study. In addition to the results of a previous systematic literature review, two brainstorming and three expert panel sessions were conducted to identify requirements of a comprehensive information technology solution. Based on these inputs, the requirements for creating a diabetes information network were identified and used to create a questionnaire based on 9-point Likert scale. The questionnaire was finalized after removing some items based on calculated content validity ratio and content validity index coefficients. Cronbach’s alpha reliability coefficient was also calculated (αTotal= 0.98, P<0.05, CI=0.95). The final questionnaire was containing 45 items. It was sent to 13 clinicians at two

  18. Teachers' Beliefs about Neuroscience and Education

    ERIC Educational Resources Information Center

    Zambo, Debby; Zambo, Ron

    2011-01-01

    Information from neuroscience is readily available to educators, yet instructors of educational psychology and related fields have not investigated teachers' beliefs regarding this information. The purpose of this survey study was to uncover the beliefs 62 teachers held about neuroscience and education. Results indicate there were three types of…

  19. A Security Audit Framework to Manage Information System Security

    NASA Astrophysics Data System (ADS)

    Pereira, Teresa; Santos, Henrique

    The widespread adoption of information and communication technology have promoted an increase dependency of organizations in the performance of their Information Systems. As a result, adequate security procedures to properly manage information security must be established by the organizations, in order to protect their valued or critical resources from accidental or intentional attacks, and ensure their normal activity. A conceptual security framework to manage and audit Information System Security is proposed and discussed. The proposed framework intends to assist organizations firstly to understand what they precisely need to protect assets and what are their weaknesses (vulnerabilities), enabling to perform an adequate security management. Secondly, enabling a security audit framework to support the organization to assess the efficiency of the controls and policy adopted to prevent or mitigate attacks, threats and vulnerabilities, promoted by the advances of new technologies and new Internet-enabled services, that the organizations are subject of. The presented framework is based on a conceptual model approach, which contains the semantic description of the concepts defined in information security domain, based on the ISO/IEC_JCT1 standards.

  20. A Methodological Framework for Enterprise Information System Requirements Derivation

    NASA Astrophysics Data System (ADS)

    Caplinskas, Albertas; Paškevičiūtė, Lina

    Current information systems (IS) are enterprise-wide systems supporting strategic goals of the enterprise and meeting its operational business needs. They are supported by information and communication technologies (ICT) and other software that should be fully integrated. To develop software responding to real business needs, we need requirements engineering (RE) methodology that ensures the alignment of requirements for all levels of enterprise system. The main contribution of this chapter is a requirement-oriented methodological framework allowing to transform business requirements level by level into software ones. The structure of the proposed framework reflects the structure of Zachman's framework. However, it has other intentions and is purposed to support not the design but the RE issues.

  1. Seven challenges for neuroscience.

    PubMed

    Markram, Henry

    2013-01-01

    Although twenty-first century neuroscience is a major scientific enterprise, advances in basic research have not yet translated into benefits for society. In this paper, I outline seven fundamental challenges that need to be overcome. First, neuroscience has to become "big science" - we need big teams with the resources and competences to tackle the big problems. Second, we need to create interlinked sets of data providing a complete picture of single areas of the brain at their different levels of organization with "rungs" linking the descriptions for humans and other species. Such "data ladders" will help us to meet the third challenge - the development of efficient predictive tools, enabling us to drastically increase the information we can extract from expensive experiments. The fourth challenge goes one step further: we have to develop novel hardware and software sufficiently powerful to simulate the brain. In the future, supercomputer-based brain simulation will enable us to make in silico manipulations and recordings, which are currently completely impossible in the lab. The fifth and sixth challenges are translational. On the one hand we need to develop new ways of classifying and simulating brain disease, leading to better diagnosis and more effective drug discovery. On the other, we have to exploit our knowledge to build new brain-inspired technologies, with potentially huge benefits for industry and for society. This leads to the seventh challenge. Neuroscience can indeed deliver huge benefits but we have to be aware of widespread social concern about our work. We need to recognize the fears that exist, lay them to rest, and actively build public support for neuroscience research. We have to set goals for ourselves that the public can recognize and share. And then we have to deliver on our promises. Only in this way, will we receive the support and funding we need.

  2. An information-theoretic framework for flow visualization.

    PubMed

    Xu, Lijie; Lee, Teng-Yok; Shen, Han-Wei

    2010-01-01

    The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algorithm. From this point of view, we can evaluate the effectiveness of visualization by measuring how much information in the original data is being communicated through the visual communication channel. In this paper, we present an information-theoretic framework for flow visualization with a special focus on streamline generation. In our framework, a vector field is modeled as a distribution of directions from which Shannon's entropy is used to measure the information content in the field. The effectiveness of the streamlines displayed in visualization can be measured by first constructing a new distribution of vectors derived from the existing streamlines, and then comparing this distribution with that of the original data set using the conditional entropy. The conditional entropy between these two distributions indicates how much information in the original data remains hidden after the selected streamlines are displayed. The quality of the visualization can be improved by progressively introducing new streamlines until the conditional entropy converges to a small value. We describe the key components of our framework with detailed analysis, and show that the framework can effectively visualize 2D and 3D flow data.

  3. Framework for Relating Auditor Reliability to Information Uses.

    ERIC Educational Resources Information Center

    Bergquist, Constance C.

    A framework is presented that relates concepts of audit reliability to the uses of information gathered from a discrepancy program audit of Elementary and Secondary Education Act Title IV-C programs in Florida. Three issues are addressed: (1) the meaning of reliability in relation to the audit process; (2) the importance of reliability of auditor…

  4. Educating psychiatry residents in neuropsychiatry and neuroscience.

    PubMed

    Benjamin, Sheldon

    2013-06-01

    Neuropsychiatry and psychiatric neuroscience should be part of the general psychiatry curriculum so that graduate psychiatrists will be able to allow their patients the benefit of neuroscientifically informed diagnosis and treatment. Current neurology and neuroscience educational requirements for US psychiatry training are reviewed. The draft milestone requirements for clinical neuroscience training as part of the US Accreditation Council for Graduate Medical Education's Next Accreditation System are also provided. Suggestions for the neuropsychiatric and neuroscience content of psychiatry residency training are made, along with a description of pedagogic methods and resources. Survey data are reviewed indicating agreement by programme directors with the importance of neuroscience training and an increase in the amount of time devoted to this area. Faculty staff development in neuropsychiatry and neuroscience literacy will be needed to provide high quality training in these areas.

  5. Information use and resource competition: an integrative framework

    PubMed Central

    Ounsley, James P.

    2016-01-01

    Organisms may reduce uncertainty regarding how best to exploit their environment by collecting information about resource distribution. We develop a model to demonstrate how competition can facilitate or constrain an individual's ability to use information when acquiring resources. As resource distribution underpins both selection on information use and the strength and nature of competition between individuals, we demonstrate interdependencies between the two that should be common in nature. Individuals in our model can search for resources either personally or by using social information. We explore selection on social information use across a comprehensive range of ecological conditions, generalizing the producer–scrounger framework to a wide diversity of taxa and resources. We show that resource ecology—defined by scarcity, depletion rate and monopolizability—determines patterns of individual differences in social information use. These differences suggest coevolutionary processes linking dominance systems and social information use, with implications for the evolutionary demography of populations. PMID:26888031

  6. Brains are not just neurons. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by Fitch

    NASA Astrophysics Data System (ADS)

    Huber, Ludwig

    2014-09-01

    This comment addresses the first component of Fitch's framework: the computational power of single neurons [3]. Although I agree that traditional models of neural computation have vastly underestimated the computational power of single neurons, I am hesitant to follow him completely. The exclusive focus on neurons is likely to underestimate the importance of other cells in the brain. In the last years, two such cell types have received appropriate attention by neuroscientists: interneurons and glia. Interneurons are small, tightly packed cells involved in the control of information processing in learning and memory. Rather than transmitting externally (like motor or sensory neurons), these neurons process information within internal circuits of the brain (therefore also called 'relay neurons'). Some specialized interneuron subtypes temporally regulate the flow of information in a given cortical circuit during relevant behavioral events [4]. In the human brain approx. 100 billion interneurons control information processing and are implicated in disorders such as epilepsy and Parkinson's.

  7. Integration framework for design information of electromechanical systems

    NASA Astrophysics Data System (ADS)

    Qureshi, Sohail Mehboob

    The objective of this research is to develop a framework that can be used to provide an integrated view of electromechanical system design information. The framework is intended to provide a platform where various standard and pseudo standard information models such as STEP and IBIS can be integrated to provide an integrated view of design information beyond just part numbers, CAD drawings, or some specific geometry. A database application can make use of this framework to provide reuse of design information fragments including geometry, function, behavior, design procedures, performance specification, design rationale, project management, product characteristics, and configuration and version. An "Integration Core Model" is developed to provide the basis for the integration framework, and also facilitate integration of product and process data for the purpose of archiving integrated design history. There are two major subdivisions of the integration core model: product core model providing the high level structure needed to associate process information to the product data, and process core model providing the generic process information that is needed to capture and organize process information. The process core model is developed using a hybrid of structure-oriented and process-oriented approaches to process modeling. Using such a scheme the process core model is able to represent information such as hierarchies of processes, logical and temporal relationships between various design activities, and relationships between activities and the product data at various levels of abstraction. Based upon the integration core model, an integration methodology is developed to provide a systematic way of integrating various information models. Mapping theorems have been developed to methodically point out the problems that may be encountered during the integration of two information models. The integration core model is validated through a case study. Design information

  8. Performance measurement integrated information framework in e-Manufacturing

    NASA Astrophysics Data System (ADS)

    Teran, Hilaida; Hernandez, Juan Carlos; Vizán, Antonio; Ríos, José

    2014-11-01

    The implementation of Internet technologies has led to e-Manufacturing technologies becoming more widely used and to the development of tools for compiling, transforming and synchronising manufacturing data through the Web. In this context, a potential area for development is the extension of virtual manufacturing to performance measurement (PM) processes, a critical area for decision making and implementing improvement actions in manufacturing. This paper proposes a PM information framework to integrate decision support systems in e-Manufacturing. Specifically, the proposed framework offers a homogeneous PM information exchange model that can be applied through decision support in e-Manufacturing environment. Its application improves the necessary interoperability in decision-making data processing tasks. It comprises three sub-systems: a data model, a PM information platform and PM-Web services architecture. A practical example of data exchange for measurement processes in the area of equipment maintenance is shown to demonstrate the utility of the model.

  9. A Connectivity Framework for Social Information Systems Design in Healthcare

    PubMed Central

    Kuziemsky, Craig E.; Andreev, Pavel; Benyoucef, Morad; O'Sullivan, Tracey; Jamaly, Syam

    2016-01-01

    Social information systems (SISs) will play a key role in healthcare systems’ transformation into collaborative patient-centered systems that support care delivery across the entire continuum of care. SISs enable the development of collaborative networks andfacilitate relationships to integrate people and processes across time and space. However, we believe that a “connectivity” issue, which refers to the scope and extent of system requirements for a SIS, is a significant challenge of SIS design. This paper’s contribution is the development of the Social Information System Connectivity Framework for supporting SIS design in healthcare. The framework has three parts. First, it defines the structure of a SIS as a set of social triads. Second, it identifies six dimensions that represent the behaviour of a SIS. Third, it proposes the Social Information System Connectivity Factor as our approximation of the extent of connectivity and degree of complexity in a SIS. PMID:28269869

  10. Conceptual privacy framework for health information on wearable device.

    PubMed

    Safavi, Seyedmostafa; Shukur, Zarina

    2014-01-01

    Wearable health tech provides doctors with the ability to remotely supervise their patients' wellness. It also makes it much easier to authorize someone else to take appropriate actions to ensure the person's wellness than ever before. Information Technology may soon change the way medicine is practiced, improving the performance, while reducing the price of healthcare. We analyzed the secrecy demands of wearable devices, including Smartphone, smart watch and their computing techniques, that can soon change the way healthcare is provided. However, before this is adopted in practice, all devices must be equipped with sufficient privacy capabilities related to healthcare service. In this paper, we formulated a new improved conceptual framework for wearable healthcare systems. This framework consists of ten principles and nine checklists, capable of providing complete privacy protection package to wearable device owners. We constructed this framework based on the analysis of existing mobile technology, the results of which are combined with the existing security standards. The approach also incorporates the market share percentage level of every app and its respective OS. This framework is evaluated based on the stringent CIA and HIPAA principles for information security. This evaluation is followed by testing the capability to revoke rights of subjects to access objects and ability to determine the set of available permissions for a particular subject for all models Finally, as the last step, we examine the complexity of the required initial setup.

  11. Conceptual Privacy Framework for Health Information on Wearable Device

    PubMed Central

    Safavi, Seyedmostafa; Shukur, Zarina

    2014-01-01

    Wearable health tech provides doctors with the ability to remotely supervise their patients' wellness. It also makes it much easier to authorize someone else to take appropriate actions to ensure the person's wellness than ever before. Information Technology may soon change the way medicine is practiced, improving the performance, while reducing the price of healthcare. We analyzed the secrecy demands of wearable devices, including Smartphone, smart watch and their computing techniques, that can soon change the way healthcare is provided. However, before this is adopted in practice, all devices must be equipped with sufficient privacy capabilities related to healthcare service. In this paper, we formulated a new improved conceptual framework for wearable healthcare systems. This framework consists of ten principles and nine checklists, capable of providing complete privacy protection package to wearable device owners. We constructed this framework based on the analysis of existing mobile technology, the results of which are combined with the existing security standards. The approach also incorporates the market share percentage level of every app and its respective OS. This framework is evaluated based on the stringent CIA and HIPAA principles for information security. This evaluation is followed by testing the capability to revoke rights of subjects to access objects and ability to determine the set of available permissions for a particular subject for all models Finally, as the last step, we examine the complexity of the required initial setup. PMID:25478915

  12. Behaviorism and Neuroscience.

    ERIC Educational Resources Information Center

    Thompson, Richard F.

    1994-01-01

    The influence of behaviorism's methods and theories on theory and research in the neurosciences is examined, partly in light of John B. Watson's 1913 essay. An attempt is made to reconcile classical behaviorism and modern cognitive psychology and neuroscience. (SLD)

  13. Towards A Topological Framework for Integrating Semantic Information Sources

    SciTech Connect

    Joslyn, Cliff A.; Hogan, Emilie A.; Robinson, Michael

    2014-09-07

    In this position paper we argue for the role that topological modeling principles can play in providing a framework for sensor integration. While used successfully in standard (quantitative) sensors, we are developing this methodology in new directions to make it appropriate specifically for semantic information sources, including keyterms, ontology terms, and other general Boolean, categorical, ordinal, and partially-ordered data types. We illustrate the basics of the methodology in an extended use case/example, and discuss path forward.

  14. Defining a framework for health information technology evaluation.

    PubMed

    Eisenstein, Eric L; Juzwishin, Don; Kushniruk, Andre W; Nahm, Meredith

    2011-01-01

    Governments and providers are investing in health information technologies with little evidence as to their ultimate value. We present a conceptual framework that can be used by hospitals, clinics, and health care systems to evaluate their health information technologies. The framework contains three dimensions that collectively define generic evaluation types. When these types are combined with contextual considerations, they define specific evaluation problems. The first dimension, domain, determines whether the evaluation will address the information intervention or its outcomes. The second dimension, mechanism, identifies the specific components of the new information technology and/or its health care system that will be the subject of the evaluation study. And, the third dimension, timing, determines whether the evaluation occurs before or after the health information technology is implemented. Answers to these questions define a set of evaluation types each with generic sets of evaluation questions, study designs, data collection requirements, and analytic methods. When these types are combined with details of the evaluation context, they define specific evaluation problems.

  15. On long-only information-based portfolio diversification framework

    NASA Astrophysics Data System (ADS)

    Santos, Raphael A.; Takada, Hellinton H.

    2014-12-01

    Using the concepts from information theory, it is possible to improve the traditional frameworks for long-only asset allocation. In modern portfolio theory, the investor has two basic procedures: the choice of a portfolio that maximizes its risk-adjusted excess return or the mixed allocation between the maximum Sharpe portfolio and the risk-free asset. In the literature, the first procedure was already addressed using information theory. One contribution of this paper is the consideration of the second procedure in the information theory context. The performance of these approaches was compared with three traditional asset allocation methodologies: the Markowitz's mean-variance, the resampled mean-variance and the equally weighted portfolio. Using simulated and real data, the information theory-based methodologies were verified to be more robust when dealing with the estimation errors.

  16. Flexible patient information search and retrieval framework: pilot implementation

    NASA Astrophysics Data System (ADS)

    Erdal, Selnur; Catalyurek, Umit V.; Saltz, Joel; Kamal, Jyoti; Gurcan, Metin N.

    2007-03-01

    Medical centers collect and store significant amount of valuable data pertaining to patients' visit in the form of medical free-text. In addition, standardized diagnosis codes (International Classification of Diseases, Ninth Revision, Clinical Modification: ICD9-CM) related to those dictated reports are usually available. In this work, we have created a framework where image searches could be initiated through a combination of free-text reports as well as ICD9 codes. This framework enables more comprehensive search on existing large sets of patient data in a systematic way. The free text search is enriched by computer-aided inclusion of additional search terms enhanced by a thesaurus. This combination of enriched search allows users to access to a larger set of relevant results from a patient-centric PACS in a simpler way. Therefore, such framework is of particular use in tasks such as gathering images for desired patient populations, building disease models, and so on. As the motivating application of our framework, we implemented a search engine. This search engine processed two years of patient data from the OSU Medical Center's Information Warehouse and identified lung nodule location information using a combination of UMLS Meta-Thesaurus enhanced text report searches along with ICD9 code searches on patients that have been discharged. Five different queries with various ICD9 codes involving lung cancer were carried out on 172552 cases. Each search was completed under a minute on average per ICD9 code and the inclusion of UMLS thesaurus increased the number of relevant cases by 45% on average.

  17. Text Mining for Neuroscience

    NASA Astrophysics Data System (ADS)

    Tirupattur, Naveen; Lapish, Christopher C.; Mukhopadhyay, Snehasis

    2011-06-01

    Text mining, sometimes alternately referred to as text analytics, refers to the process of extracting high-quality knowledge from the analysis of textual data. Text mining has wide variety of applications in areas such as biomedical science, news analysis, and homeland security. In this paper, we describe an approach and some relatively small-scale experiments which apply text mining to neuroscience research literature to find novel associations among a diverse set of entities. Neuroscience is a discipline which encompasses an exceptionally wide range of experimental approaches and rapidly growing interest. This combination results in an overwhelmingly large and often diffuse literature which makes a comprehensive synthesis difficult. Understanding the relations or associations among the entities appearing in the literature not only improves the researchers current understanding of recent advances in their field, but also provides an important computational tool to formulate novel hypotheses and thereby assist in scientific discoveries. We describe a methodology to automatically mine the literature and form novel associations through direct analysis of published texts. The method first retrieves a set of documents from databases such as PubMed using a set of relevant domain terms. In the current study these terms yielded a set of documents ranging from 160,909 to 367,214 documents. Each document is then represented in a numerical vector form from which an Association Graph is computed which represents relationships between all pairs of domain terms, based on co-occurrence. Association graphs can then be subjected to various graph theoretic algorithms such as transitive closure and cycle (circuit) detection to derive additional information, and can also be visually presented to a human researcher for understanding. In this paper, we present three relatively small-scale problem-specific case studies to demonstrate that such an approach is very successful in

  18. Neuroscience in recession?

    PubMed

    Amara, Susan G; Grillner, Sten; Insel, Tom; Nutt, David; Tsumoto, Tadaharu

    2011-05-01

    As the global financial downturn continues, its impact on neuroscientists - both on an individual level and at the level of their research institute - becomes increasingly apparent. How is the economic crisis affecting neuroscience funding, career prospects, international collaborations and scientists' morale in different parts of the world? Nature Reviews Neuroscience gauged the opinions of a number of leading neuroscientists: the President of the Society for Neuroscience, the President Elect of the British Neuroscience Association, the former President of the Japan Neuroscience Society, the President of the Federation of European Neuroscience Societies and the Director of the US National Institute of Mental Health. Their responses provide interesting and important insights into the regional impact of the global financial downturn, with some causes for optimism for the future of neuroscience research.

  19. Culture, attribution and automaticity: a social cognitive neuroscience view

    PubMed Central

    Morris, Michael W.

    2010-01-01

    A fundamental challenge facing social perceivers is identifying the cause underlying other people’s behavior. Evidence indicates that East Asian perceivers are more likely than Western perceivers to reference the social context when attributing a cause to a target person’s actions. One outstanding question is whether this reflects a culture’s influence on automatic or on controlled components of causal attribution. After reviewing behavioral evidence that culture can shape automatic mental processes as well as controlled reasoning, we discuss the evidence in favor of cultural differences in automatic and controlled components of causal attribution more specifically. We contend that insights emerging from social cognitive neuroscience research can inform this debate. After introducing an attribution framework popular among social neuroscientists, we consider findings relevant to the automaticity of attribution, before speculating how one could use a social neuroscience approach to clarify whether culture affects automatic, controlled or both types of attribution processes. PMID:20460302

  20. Culture, attribution and automaticity: a social cognitive neuroscience view.

    PubMed

    Mason, Malia F; Morris, Michael W

    2010-06-01

    A fundamental challenge facing social perceivers is identifying the cause underlying other people's behavior. Evidence indicates that East Asian perceivers are more likely than Western perceivers to reference the social context when attributing a cause to a target person's actions. One outstanding question is whether this reflects a culture's influence on automatic or on controlled components of causal attribution. After reviewing behavioral evidence that culture can shape automatic mental processes as well as controlled reasoning, we discuss the evidence in favor of cultural differences in automatic and controlled components of causal attribution more specifically. We contend that insights emerging from social cognitive neuroscience research can inform this debate. After introducing an attribution framework popular among social neuroscientists, we consider findings relevant to the automaticity of attribution, before speculating how one could use a social neuroscience approach to clarify whether culture affects automatic, controlled or both types of attribution processes.

  1. Towards a Lifecycle Information Framework and Technology in Manufacturing.

    PubMed

    Hedberg, Thomas; Feeney, Allison Barnard; Helu, Moneer; Camelio, Jaime A

    2017-06-01

    Industry has been chasing the dream of integrating and linking data across the product lifecycle and enterprises for decades. However, industry has been challenged by the fact that the context in which data is used varies based on the function / role in the product lifecycle that is interacting with the data. Holistically, the data across the product lifecycle must be considered an unstructured data-set because multiple data repositories and domain-specific schema exist in each phase of the lifecycle. This paper explores a concept called the Lifecycle Information Framework and Technology (LIFT). LIFT is a conceptual framework for lifecycle information management and the integration of emerging and existing technologies, which together form the basis of a research agenda for dynamic information modeling in support of digital-data curation and reuse in manufacturing. This paper provides a discussion of the existing technologies and activities that the LIFT concept leverages. Also, the paper describes the motivation for applying such work to the domain of manufacturing. Then, the LIFT concept is discussed in detail, while underlying technologies are further examined and a use case is detailed. Lastly, potential impacts are explored.

  2. A neuroscience agenda for counseling psychology research.

    PubMed

    Gonçalves, Oscar F; Perrone-McGovern, Kristin M

    2014-10-01

    Recent advances in the field of neuroscience have dramatically changed our understanding of brain-behavior relationships. In this article, we illustrate how neuroscience can provide a conceptual and methodological framework to understand our clients within a transdiagnostic developmental perspective. We provide directions for integrating neuroscience into future process and outcome research. We present examples on how neuroscience can be integrated into researching the effects of contextual counseling interventions. We posit that interpersonal and environmental factors, such as neurotoxic factors (e.g., emotional neglect, stress), positive neurodevelopmental factors (e.g., nurturing and caring, environmental enrichment), and therapeutic interventions influence psychological processes (executive control, behavioral flexibility, reinforcement learning and approach motivation, emotional expression and regulation, self-representation and theory of mind). These psychological processes influence brain networks (attention, motivational, emotional regulation, social cognition), which influence cognitive, social, emotional, identity, and vocational development.

  3. Neuroscience meets salivary bioscience: An integrative perspective.

    PubMed

    Segal, Sabrina K

    2016-04-01

    Advances in salivary bioscience enable unique opportunities to explore individual differences in biological mechanisms related to learning and memory, psychiatric disorders, and more recently neurodegenerative diseases, neurotrauma/stroke, pain, and sleep. Sampling oral fluid is not only minimally invasive, but specimens can be collected easily and quickly in clinical and field settings. Salivary analytes allow neuroscientists to index endocrine, autonomic, immune, metabolic, and inflammatory processes within close proximity of discrete behavioral, biological, and social events, which is particularly important to advancing our understanding of human neuroscience. This review provides an update on the advances in salivary bioscience for specialty fields within neuroscience, presents novel salivary analytes of interest to neuroscience and the status of their development, and outlines a procedural framework to facilitate integration of these concepts and methods into neuroscience. (PsycINFO Database Record

  4. A Geospatial Information Grid Framework for Geological Survey.

    PubMed

    Wu, Liang; Xue, Lei; Li, Chaoling; Lv, Xia; Chen, Zhanlong; Guo, Mingqiang; Xie, Zhong

    2015-01-01

    The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper.

  5. A Geospatial Information Grid Framework for Geological Survey

    PubMed Central

    Wu, Liang; Xue, Lei; Li, Chaoling; Lv, Xia; Chen, Zhanlong; Guo, Mingqiang; Xie, Zhong

    2015-01-01

    The use of digital information in geological fields is becoming very important. Thus, informatization in geological surveys should not stagnate as a result of the level of data accumulation. The integration and sharing of distributed, multi-source, heterogeneous geological information is an open problem in geological domains. Applications and services use geological spatial data with many features, including being cross-region and cross-domain and requiring real-time updating. As a result of these features, desktop and web-based geographic information systems (GISs) experience difficulties in meeting the demand for geological spatial information. To facilitate the real-time sharing of data and services in distributed environments, a GIS platform that is open, integrative, reconfigurable, reusable and elastic would represent an indispensable tool. The purpose of this paper is to develop a geological cloud-computing platform for integrating and sharing geological information based on a cloud architecture. Thus, the geological cloud-computing platform defines geological ontology semantics; designs a standard geological information framework and a standard resource integration model; builds a peer-to-peer node management mechanism; achieves the description, organization, discovery, computing and integration of the distributed resources; and provides the distributed spatial meta service, the spatial information catalog service, the multi-mode geological data service and the spatial data interoperation service. The geological survey information cloud-computing platform has been implemented, and based on the platform, some geological data services and geological processing services were developed. Furthermore, an iron mine resource forecast and an evaluation service is introduced in this paper. PMID:26710255

  6. 76 FR 11243 - Solicitation of Input From Stakeholders To Inform the National Framework for Electronics Stewardship

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-03-01

    ... AGENCY Solicitation of Input From Stakeholders To Inform the National Framework for Electronics... requesting written stakeholder input to inform the national framework for electronics stewardship that is being developed by the Interagency Task Force on Electronics Stewardship. On November 15,...

  7. The Dolinar Receiver in an Information Theoretic Framework

    NASA Technical Reports Server (NTRS)

    Erkmen, Baris I.; Birnbaum, Kevin M.; Moision, Bruce E.; Dolinar, Samuel J.

    2011-01-01

    Optical communication at the quantum limit requires that measurements on the optical field be maximally informative, but devising physical measurements that accomplish this objective has proven challenging. The Dolinar receiver exemplifies a rare instance of success in distinguishing between two coherent states: an adaptive local oscillator is mixed with the signal prior to photodetection, which yields an error probability that meets the Helstrom lower bound with equality. Here we apply the same local-oscillator-based architecture with aninformation-theoretic optimization criterion. We begin with analysis of this receiver in a general framework for an arbitrary coherent-state modulation alphabet, and then we concentrate on two relevant examples. First, we study a binary antipodal alphabet and show that the Dolinar receiver's feedback function not only minimizes the probability of error, but also maximizes the mutual information. Next, we study ternary modulation consistingof antipodal coherent states and the vacuum state. We derive an analytic expression for a near-optimal local oscillator feedback function, and, via simulation, we determine its photon information efficiency (PIE). We provide the PIE versus dimensional information efficiency (DIE) trade-off curve and show that this modulation and the our receiver combination performs universally better than (generalized) on-off keying plus photoncounting, although, the advantage asymptotically vanishes as the bits-per-photon diverges towards infinity.

  8. Advancing Ethical Neuroscience Research.

    PubMed

    Borah, B Rashmi; Strand, Nicolle K; Chillag, Kata L

    2016-12-01

    As neuroscience research advances, researchers, clinicians, and other stakeholders will face a host of ethical challenges. The Presidential Commission for the Study of Bioethical Issues (Bioethics Commission) has published two reports that provide recommendations on how to advance research endeavors ethically. The commission addressed, among other issues, how to prioritize different types of neuroscience research and how to include research participants who have impaired consent capacity. The Bioethics Commission's recommendations provide a foundation for ethical guidelines as neuroscience research advances and progresses.

  9. Defining resilience within a risk-informed assessment framework

    SciTech Connect

    Coles, Garill A.; Unwin, Stephen D.; Holter, Gregory M.; Bass, Robert B.; Dagle, Jeffery E.

    2011-08-01

    The concept of resilience is the subject of considerable discussion in academic, business, and governmental circles. The United States Department of Homeland Security for one has emphasised the need to consider resilience in safeguarding critical infrastructure and key resources. The concept of resilience is complex, multidimensional, and defined differently by different stakeholders. The authors contend that there is a benefit in moving from discussing resilience as an abstraction to defining resilience as a measurable characteristic of a system. This paper proposes defining resilience measures using elements of a traditional risk assessment framework to help clarify the concept of resilience and as a way to provide non-traditional risk information. The authors show various, diverse dimensions of resilience can be quantitatively defined in a common risk assessment framework based on the concept of loss of service. This allows the comparison of options for improving the resilience of infrastructure and presents a means to perform cost-benefit analysis. This paper discusses definitions and key aspects of resilience, presents equations for the risk of loss of infrastructure function that incorporate four key aspects of resilience that could prevent or mitigate that loss, describes proposed resilience factor definitions based on those risk impacts, and provides an example that illustrates how resilience factors would be calculated using a hypothetical scenario.

  10. A cognitive information processing framework for distributed sensor networks

    NASA Astrophysics Data System (ADS)

    Wang, Feiyi; Qi, Hairong

    2004-09-01

    In this paper, we present a cognitive agent framework (CAF) based on swarm intelligence and self-organization principles, and demonstrate it through collaborative processing for target classification in sensor networks. The framework involves integrated designs to provide both cognitive behavior at the organization level to conquer complexity and reactive behavior at the individual agent level to retain simplicity. The design tackles various problems in the current information processing systems, including overly complex systems, maintenance difficulties, increasing vulnerability to attack, lack of capability to tolerate faults, and inability to identify and cope with low-frequency patterns. An important and distinguishing point of the presented work from classical AI research is that the acquired intelligence does not pertain to distinct individuals but to groups. It also deviates from multi-agent systems (MAS) due to sheer quantity of extremely simple agents we are able to accommodate, to the degree that some loss of coordination messages and behavior of faulty/compromised agents will not affect the collective decision made by the group.

  11. ISART: A Generic Framework for Searching Books with Social Information

    PubMed Central

    Cui, Xiao-Ping; Qu, Jiao; Geng, Bin; Zhou, Fang; Song, Li; Hao, Hong-Wei

    2016-01-01

    Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerge with the huge number of books on the Web, but how they are utilized for searching and finding books is seldom investigated. Here we develop an Integrated Search And Recommendation Technology (IsArt), which breaks new ground by providing a generic framework for searching books with rich social information. IsArt comprises a search engine to rank books with book contents and professional metadata, a Generalized Content-based Filtering model to thereafter rerank books with user-generated social contents, and a learning-to-rank technique to finally combine a wide range of diverse reranking results. Experiments show that this technology permits embedding social information to promote book search effectiveness, and IsArt, by making use of it, has the best performance on CLEF/INEX Social Book Search Evaluation datasets of all 4 years (from 2011 to 2014), compared with some other state-of-the-art methods. PMID:26863545

  12. ISART: A Generic Framework for Searching Books with Social Information.

    PubMed

    Yin, Xu-Cheng; Zhang, Bo-Wen; Cui, Xiao-Ping; Qu, Jiao; Geng, Bin; Zhou, Fang; Song, Li; Hao, Hong-Wei

    2016-01-01

    Effective book search has been discussed for decades and is still future-proof in areas as diverse as computer science, informatics, e-commerce and even culture and arts. A variety of social information contents (e.g, ratings, tags and reviews) emerge with the huge number of books on the Web, but how they are utilized for searching and finding books is seldom investigated. Here we develop an Integrated Search And Recommendation Technology (IsArt), which breaks new ground by providing a generic framework for searching books with rich social information. IsArt comprises a search engine to rank books with book contents and professional metadata, a Generalized Content-based Filtering model to thereafter rerank books with user-generated social contents, and a learning-to-rank technique to finally combine a wide range of diverse reranking results. Experiments show that this technology permits embedding social information to promote book search effectiveness, and IsArt, by making use of it, has the best performance on CLEF/INEX Social Book Search Evaluation datasets of all 4 years (from 2011 to 2014), compared with some other state-of-the-art methods.

  13. A knowledge framework for the organization of battery information

    SciTech Connect

    Roberge, P.R.; Mann, R.F.; Verville, G.

    1996-12-31

    There is presently a lack of a complete, well-utilized, accurate database of batteries throughout the Canadian and U.S. military. Such a tracking tool could dramatically assist in reducing the proliferation of unique batteries and in serving as a designers tool for standardizing families of batteries for particular families of systems. The battery maintenance procedures within the military organizations could be updated, and training of personnel could reduce maintenance costs. Many battery chemistries require standard, periodic maintenance that prolong the life of the battery. If these maintenance procedures or time intervals are not followed, battery life decreases, resulting in unnecessary maintenance or replacement costs. This paper presents a knowledge framework for the organization of battery information in support of the life cycle management of battery systems used in the military.

  14. A framework for modeling emerging diseases to inform management

    USGS Publications Warehouse

    Russell, Robin E.; Katz, Rachel A.; Richgels, Katherine L.D.; Walsh, Daniel P.; Grant, Evan

    2017-01-01

    The rapid emergence and reemergence of zoonotic diseases requires the ability to rapidly evaluate and implement optimal management decisions. Actions to control or mitigate the effects of emerging pathogens are commonly delayed because of uncertainty in the estimates and the predicted outcomes of the control tactics. The development of models that describe the best-known information regarding the disease system at the early stages of disease emergence is an essential step for optimal decision-making. Models can predict the potential effects of the pathogen, provide guidance for assessing the likelihood of success of different proposed management actions, quantify the uncertainty surrounding the choice of the optimal decision, and highlight critical areas for immediate research. We demonstrate how to develop models that can be used as a part of a decision-making framework to determine the likelihood of success of different management actions given current knowledge.

  15. A Framework for Modeling Emerging Diseases to Inform Management

    PubMed Central

    Katz, Rachel A.; Richgels, Katherine L.D.; Walsh, Daniel P.; Grant, Evan H.C.

    2017-01-01

    The rapid emergence and reemergence of zoonotic diseases requires the ability to rapidly evaluate and implement optimal management decisions. Actions to control or mitigate the effects of emerging pathogens are commonly delayed because of uncertainty in the estimates and the predicted outcomes of the control tactics. The development of models that describe the best-known information regarding the disease system at the early stages of disease emergence is an essential step for optimal decision-making. Models can predict the potential effects of the pathogen, provide guidance for assessing the likelihood of success of different proposed management actions, quantify the uncertainty surrounding the choice of the optimal decision, and highlight critical areas for immediate research. We demonstrate how to develop models that can be used as a part of a decision-making framework to determine the likelihood of success of different management actions given current knowledge. PMID:27983501

  16. 78 FR 55252 - Proposed Information Collection Request; Comment Request; State Review Framework

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-10

    ... AGENCY Proposed Information Collection Request; Comment Request; State Review Framework AGENCY... Framework (EPA ICR No. 2185.05, OMB Control No. 2020-0031) to the Office of Management and Budget (OMB) for... OMB. Abstract: The State Review Framework (``Framework'') is an oversight tool designed to...

  17. Dynamical principles in neuroscience

    SciTech Connect

    Rabinovich, Mikhail I.; Varona, Pablo; Selverston, Allen I.; Abarbanel, Henry D. I.

    2006-10-15

    Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors. Many interesting dynamical models of learning and memory based on physiological experiments have been suggested over the last two decades. Dynamical models even of consciousness now exist. Usually these models and results are based on traditional approaches and paradigms of nonlinear dynamics including dynamical chaos. Neural systems are, however, an unusual subject for nonlinear dynamics for several reasons: (i) Even the simplest neural network, with only a few neurons and synaptic connections, has an enormous number of variables and control parameters. These make neural systems adaptive and flexible, and are critical to their biological function. (ii) In contrast to traditional physical systems described by well-known basic principles, first principles governing the dynamics of neural systems are unknown. (iii) Many different neural systems exhibit similar dynamics despite having different architectures and different levels of complexity. (iv) The network architecture and connection strengths are usually not known in detail and therefore the dynamical analysis must, in some sense, be probabilistic. (v) Since nervous systems are able to organize behavior based on sensory inputs, the dynamical modeling of these systems has to explain the transformation of temporal information into combinatorial or combinatorial-temporal codes, and vice versa, for memory and recognition. In this review these problems are discussed in the context of addressing the stimulating questions: What can neuroscience learn from nonlinear dynamics, and what can nonlinear dynamics learn from neuroscience?.

  18. Dynamical principles in neuroscience

    NASA Astrophysics Data System (ADS)

    Rabinovich, Mikhail I.; Varona, Pablo; Selverston, Allen I.; Abarbanel, Henry D. I.

    2006-10-01

    Dynamical modeling of neural systems and brain functions has a history of success over the last half century. This includes, for example, the explanation and prediction of some features of neural rhythmic behaviors. Many interesting dynamical models of learning and memory based on physiological experiments have been suggested over the last two decades. Dynamical models even of consciousness now exist. Usually these models and results are based on traditional approaches and paradigms of nonlinear dynamics including dynamical chaos. Neural systems are, however, an unusual subject for nonlinear dynamics for several reasons: (i) Even the simplest neural network, with only a few neurons and synaptic connections, has an enormous number of variables and control parameters. These make neural systems adaptive and flexible, and are critical to their biological function. (ii) In contrast to traditional physical systems described by well-known basic principles, first principles governing the dynamics of neural systems are unknown. (iii) Many different neural systems exhibit similar dynamics despite having different architectures and different levels of complexity. (iv) The network architecture and connection strengths are usually not known in detail and therefore the dynamical analysis must, in some sense, be probabilistic. (v) Since nervous systems are able to organize behavior based on sensory inputs, the dynamical modeling of these systems has to explain the transformation of temporal information into combinatorial or combinatorial-temporal codes, and vice versa, for memory and recognition. In this review these problems are discussed in the context of addressing the stimulating questions: What can neuroscience learn from nonlinear dynamics, and what can nonlinear dynamics learn from neuroscience?

  19. An Information Architecture Framework for the USAF: Managing Information from an Enterprise Perspective

    DTIC Science & Technology

    2010-03-01

    for the USAF Managing Information from an Enterprise Perspective Mary Ann Malloy , PhD Edward V. Masek Robert W. Miller, PhD Daniel G. Winkowski...An Information Architecture Framework for the USAF Managing Information from an Enterprise Perspective Mary Ann Malloy , PhD Edward V. Masek... Robert W. Miller, PhD Daniel G. Winkowski March 2010 MT R 1 0 00 3 3 MIT R E T E C H N IC A L R E P OR T Report Documentation Page Form

  20. The Neuroscience Peer Review Consortium

    PubMed Central

    Saper, Clifford B; Maunsell, John HR; Sagvolden, Terje

    2009-01-01

    The Neuroscience Peer Review Consortium (NPRC) was conceived in the summer of 2007 at a meeting of editors and publishers of neuroscience journals. One of the working groups addressed whether it was possible to construct a system for permitting authors whose manuscript received supportive reviews at one journal but was not accepted to send a revised manuscript together with its first round of reviews to a new journal for the second round. This would speed up the review process and reduce the work for reviewers and editors. The working group not only designed a framework for transferring reviews among journals, but also implemented it as the NPRC. By the fall of 2007, more than a dozen major journals had signed onto the NPRC, sufficient to launch the experiment in January, 2008. We invite authors who have not yet used the NPRC to try this method for appropriate manuscripts. In order to encourage dissemination of the details outlined in this Editorial, it will also be published in other journals in the Neuroscience Peer Review Consortium. PMID:19149887

  1. Addressing Literacy through Neuroscience

    ERIC Educational Resources Information Center

    Miller, Steve; Tallal, Paula A.

    2006-01-01

    Brain is the source of all human thoughts, feelings and emotions. Now the mysteries of the human brain are rapidly being elucidated by neuroscience research. For more than 150 years, neuroscience has held that most of the brain's functionality develops during critical periods in early childhood and that once past these critical periods, the window…

  2. Applying neuroscience to architecture.

    PubMed

    Eberhard, John P

    2009-06-25

    Architectural practice and neuroscience research use our brains and minds in much the same way. However, the link between neuroscience knowledge and architectural design--with rare exceptions--has yet to be made. The concept of linking these two fields is a challenge worth considering.

  3. Building a functional multiple intelligences theory to advance educational neuroscience

    PubMed Central

    Cerruti, Carlo

    2013-01-01

    A key goal of educational neuroscience is to conduct constrained experimental research that is theory-driven and yet also clearly related to educators’ complex set of questions and concerns. However, the fields of education, cognitive psychology, and neuroscience use different levels of description to characterize human ability. An important advance in research in educational neuroscience would be the identification of a cognitive and neurocognitive framework at a level of description relatively intuitive to educators. I argue that the theory of multiple intelligences (MI; Gardner, 1983), a conception of the mind that motivated a past generation of teachers, may provide such an opportunity. I criticize MI for doing little to clarify for teachers a core misunderstanding, specifically that MI was only an anatomical map of the mind but not a functional theory that detailed how the mind actually processes information. In an attempt to build a “functional MI” theory, I integrate into MI basic principles of cognitive and neural functioning, namely interregional neural facilitation and inhibition. In so doing I hope to forge a path toward constrained experimental research that bears upon teachers’ concerns about teaching and learning. PMID:24391613

  4. Building a functional multiple intelligences theory to advance educational neuroscience.

    PubMed

    Cerruti, Carlo

    2013-01-01

    A key goal of educational neuroscience is to conduct constrained experimental research that is theory-driven and yet also clearly related to educators' complex set of questions and concerns. However, the fields of education, cognitive psychology, and neuroscience use different levels of description to characterize human ability. An important advance in research in educational neuroscience would be the identification of a cognitive and neurocognitive framework at a level of description relatively intuitive to educators. I argue that the theory of multiple intelligences (MI; Gardner, 1983), a conception of the mind that motivated a past generation of teachers, may provide such an opportunity. I criticize MI for doing little to clarify for teachers a core misunderstanding, specifically that MI was only an anatomical map of the mind but not a functional theory that detailed how the mind actually processes information. In an attempt to build a "functional MI" theory, I integrate into MI basic principles of cognitive and neural functioning, namely interregional neural facilitation and inhibition. In so doing I hope to forge a path toward constrained experimental research that bears upon teachers' concerns about teaching and learning.

  5. Dyscalculia: neuroscience and education.

    PubMed

    Kaufmann, Liane

    2008-06-01

    BACKGROUND: Developmental dyscalculia is a heterogeneous disorder with largely dissociable performance profiles. Though our current understanding of the neurofunctional foundations of (adult) numerical cognition has increased considerably during the past two decades, there are still many unanswered questions regarding the developmental pathways of numerical cognition. Most studies on developmental dyscalculia are based upon adult calculation models which may not provide an adequate theoretical framework for understanding and investigating developing calculation systems. Furthermore, the applicability of neuroscience research to pedagogy has, so far, been limited. PURPOSE: After providing an overview of current conceptualisations of numerical cognition and developmental dyscalculia, the present paper (1) reviews recent research findings that are suggestive of a neurofunctional link between fingers (finger gnosis, finger-based counting and calculation) and number processing, and (2) takes the latter findings as an example to discuss how neuroscience findings may impact on educational understanding and classroom interventions. SOURCES OF EVIDENCE: Finger-based number representations and finger-based calculation have deep roots in human ontology and phylogeny. Recently, accumulating empirical evidence supporting the hypothesis of a neurofunctional link between fingers and numbers has emerged from both behavioural and brain imaging studies. MAIN ARGUMENT: Preliminary but converging research supports the notion that finger gnosis and finger use seem to be related to calculation proficiency in elementary school children. Finger-based counting and calculation may facilitate the establishment of mental number representations (possibly by fostering the mapping from concrete non-symbolic to abstract symbolic number magnitudes), which in turn seem to be the foundations for successful arithmetic achievement. CONCLUSIONS: Based on the findings illustrated here, it is plausible

  6. Educational neuroscience: definitional, methodological, and interpretive issues.

    PubMed

    Byrnes, James P; Vu, Lien T

    2015-01-01

    In this study, we hope to accomplish three aims as follows: (1) provide greater clarity regarding the nature and scope of the field of educational neuroscience, (2) propose a framework for understanding when and how neuroscientific research could be informative for educational practice, and (3) describe some examples of neuroscientific findings from the domains of reading and mathematics that are informative according to this framework. We propose that psychological models of learning-related processes should be the basis of instructional decisions, and that neuroscientific evidence in combination with traditional evidence from psychological experiments should be used to decide among competing psychological models. Our review of the neuroscientific evidence for both reading and mathematics suggests that while much has been learned over the past 20 years, there is still a 'disconnect' between contemporary psychological models that emphasize higher level skills and neuroscientific studies that focus on lower level skills. Moreover, few researchers have used neuroscientific evidence to decide among psychological models, but have focused instead on identifying the brain regions that subtend component skills of reading and math. Nevertheless, neuroscientific studies have confirmed the intrinsic relationship between reading and spoken language, revealed interesting predictive relationships between anatomical structures and reading and math disabilities, and there is the potential for fruitful collaborations between neuroscientists and psychologists in the future.

  7. Neuroscience and learning: implications for teaching practice.

    PubMed

    Guy, Richard; Byrne, Bruce

    2013-01-01

    Although neuroscience studies have provided us with an increasingly detailed picture of the basis for learning and memory, very little of this information has been applied within the area of teaching practice. We suggest that a better understanding of neuroscience may offer significant advantages for educators. In this context, we have considered recent studies in the neuroscience of learning and memory, with particular emphasis on working and semantic memory, and also suggest that neuroscience research into self-referential networks may improve our understanding of the learning process. Finally, we propose that advances in understanding the neural basis for metacognition may encourage the development of new perspectives that may help us to motivate students to learn about their own learning processes.

  8. A conceptual framework for intelligent real-time information processing

    NASA Technical Reports Server (NTRS)

    Schudy, Robert

    1987-01-01

    By combining artificial intelligence concepts with the human information processing model of Rasmussen, a conceptual framework was developed for real time artificial intelligence systems which provides a foundation for system organization, control and validation. The approach is based on the description of system processing terms of an abstraction hierarchy of states of knowledge. The states of knowledge are organized along one dimension which corresponds to the extent to which the concepts are expressed in terms of the system inouts or in terms of the system response. Thus organized, the useful states form a generally triangular shape with the sensors and effectors forming the lower two vertices and the full evaluated set of courses of action the apex. Within the triangle boundaries are numerous processing paths which shortcut the detailed processing, by connecting incomplete levels of analysis to partially defined responses. Shortcuts at different levels of abstraction include reflexes, sensory motor control, rule based behavior, and satisficing. This approach was used in the design of a real time tactical decision aiding system, and in defining an intelligent aiding system for transport pilots.

  9. Social neuroscience of child and adolescent depression

    PubMed Central

    Miller, Anita

    2007-01-01

    The social neuroscience of child and adolescent depression is inherently multidisciplinary. Depressive disorders beginning early in life can have serious developmental and functional consequences. Psychopathology research has described depression’s defining clinical and contextual features, and intervention research has characterized its response to treatment and prevention programs. Neuroendocrine, electrophysiological, and neuroimaging studies have identified core neurobiological aspects of early-onset mood disorders. These areas are reviewed using a developmental social neuroscience perspective for integrating disparate observations. The paper introduces a dynamic adaptive systems framework, and it discusses hedonic capacity, stress sensitivity, ruminative self-focus, and attentional impairments as fundamental components of mood disorders. PMID:17624647

  10. Integrating Community Outreach into the Undergraduate Neuroscience Classroom

    PubMed Central

    Stevens, Courtney

    2011-01-01

    While both federal agencies and professional associations emphasize the importance of neuroscience outreach, this goal seldom reaches the undergraduate neuroscience classroom. However, incorporating outreach into undergraduate neuroscience classes is an efficient means to reach not only future scientists, but also the future practitioners (K-12 teachers, social service workers, etc.) with whom neuroscientists hope to communicate. It also provides a vehicle for faculty members to engage in outreach activities that are typically un- or under-rewarded in faculty reviews. In this article, a Neuroscience Community Outreach Project (NCOP) is described. The project has been used in three offerings of a Cognitive Neuroscience course at a small liberal arts college, shared and applied at a large state university, and presented at a regional Society for Neuroscience meeting as an example of outreach opportunities for faculty. The NCOP assignment is a student-driven, modular activity that can be easily incorporated into existing neuroscience course frameworks. The assignment builds on student interests and connections in the community, providing a way for faculty at institutions without formal outreach programs to incorporate neuroscience outreach into the classroom and connect students to online resources. Several sample student projects are described across three broad domains (K-12 outreach, presentations to social service organizations, and media / popular press presentations). The article ends with a set of suggestions addressing common faculty concerns about incorporating community outreach into the undergraduate neuroscience classroom. PMID:23626492

  11. Integrating community outreach into the undergraduate neuroscience classroom.

    PubMed

    Stevens, Courtney

    2011-01-01

    While both federal agencies and professional associations emphasize the importance of neuroscience outreach, this goal seldom reaches the undergraduate neuroscience classroom. However, incorporating outreach into undergraduate neuroscience classes is an efficient means to reach not only future scientists, but also the future practitioners (K-12 teachers, social service workers, etc.) with whom neuroscientists hope to communicate. It also provides a vehicle for faculty members to engage in outreach activities that are typically un- or under-rewarded in faculty reviews. In this article, a Neuroscience Community Outreach Project (NCOP) is described. The project has been used in three offerings of a Cognitive Neuroscience course at a small liberal arts college, shared and applied at a large state university, and presented at a regional Society for Neuroscience meeting as an example of outreach opportunities for faculty. The NCOP assignment is a student-driven, modular activity that can be easily incorporated into existing neuroscience course frameworks. The assignment builds on student interests and connections in the community, providing a way for faculty at institutions without formal outreach programs to incorporate neuroscience outreach into the classroom and connect students to online resources. Several sample student projects are described across three broad domains (K-12 outreach, presentations to social service organizations, and media / popular press presentations). The article ends with a set of suggestions addressing common faculty concerns about incorporating community outreach into the undergraduate neuroscience classroom.

  12. Philosophy, Neuroscience and Education

    ERIC Educational Resources Information Center

    Clark, John

    2015-01-01

    This short note takes two quotations from Snooks' recent editorial on neuroeducation and teases out some further details on the philosophy of neuroscience and neurophilosophy along with consideration of the implications of both for philosophy of education.

  13. Behaviorism and neuroscience.

    PubMed

    Thompson, R F

    1994-04-01

    The influence of the methods and theories of behaviorism on theory and research in the neurosciences is examined, partly in light of Watson's (1913) original call-to-arms. Behaviorist approaches to animal behavior, particularly in the study of processes of learning and memory, have had a profound and continual influence in the area of neuroscience concerned with animal studies of brain substrates of behavior. Similarly, contemporary behaviorists have not been opposed to the study of neurobiological substrates of behavior. On the other hand, classical behaviorist views of thinking, that is, as reflex chains, have been largely discounted by developments in neuroscience. Classical behaviorism is viewed by many as being most at odds with the modern fields of cognitive psychology and cognitive neuroscience, particularly regarding "mind" and "consciousness." A modest attempt at reconciliation is offered.

  14. A Strategic Approach to Curriculum Design for Information Literacy in Teacher Education--Implementing an Information Literacy Conceptual Framework

    ERIC Educational Resources Information Center

    Klebansky, Anna; Fraser, Sharon P.

    2013-01-01

    This paper details a conceptual framework that situates curriculum design for information literacy and lifelong learning, through a cohesive developmental information literacy based model for learning, at the core of teacher education courses at UTAS. The implementation of the framework facilitates curriculum design that systematically,…

  15. An integrated healthcare enterprise information portal and healthcare information system framework.

    PubMed

    Hsieh, S L; Lai, Feipei; Cheng, P H; Chen, J L; Lee, H H; Tsai, W N; Weng, Y C; Hsieh, S H; Hsu, K P; Ko, L F; Yang, T H; Chen, C H

    2006-01-01

    The paper presents an integrated, distributed Healthcare Enterprise Information Portal (HEIP) and Hospital Information Systems (HIS) framework over wireless/wired infrastructure at National Taiwan University Hospital (NTUH). A single sign-on solution for the hospital customer relationship management (CRM) in HEIP has been established. The outcomes of the newly developed Outpatient Information Systems (OIS) in HIS are discussed. The future HEIP blueprints with CRM oriented features: e-Learning, Remote Consultation and Diagnosis (RCD), as well as on-Line Vaccination Services are addressed. Finally, the integrated HEIP and HIS architectures based on the middleware technologies are proposed along with the feasible approaches. The preliminary performance of multi-media, time-based data exchanges over the wireless HEIP side is collected to evaluate the efficiency of the architecture.

  16. Subsurface and Surface Characterization using an Information Framework Model

    NASA Astrophysics Data System (ADS)

    Samuel-Ojo, Olusola

    Groundwater plays a critical dual role as a reservoir of fresh water for human consumption and as a cause of the most severe problems when dealing with construction works below the water table. This is why it is critical to monitor groundwater recharge, distribution, and discharge on a continuous basis. The conventional method of monitoring groundwater employs a network of sparsely distributed monitoring wells and it is laborious, expensive, and intrusive. The problem of sparse data and undersampling reduces the accuracy of sampled survey data giving rise to poor interpretation. This dissertation addresses this problem by investigating groundwater-deformation response in order to augment the conventional method. A blend of three research methods was employed, namely design science research, geological methods, and geophysical methods, to examine whether persistent scatterer interferometry, a remote sensing technique, might augment conventional groundwater monitoring. Observation data (including phase information for displacement deformation from permanent scatterer interferometric synthetic aperture radar and depth to groundwater data) was obtained from the Water District, Santa Clara Valley, California. An information framework model was built and applied, and then evaluated. Data was preprocessed and decomposed into five components or parts: trend, seasonality, low frequency, high frequency and octave bandwidth. Digital elevation models of observed and predicted hydraulic head were produced, illustrating the piezometric or potentiometric surface. The potentiometric surface characterizes the regional aquifer of the valley showing areal variation of rate of percolation, velocity and permeability, and completely defines flow direction, advising characteristics and design levels. The findings show a geologic forcing phenomenon which explains in part the long-term deformation behavior of the valley, characterized by poroelastic, viscoelastic, elastoplastic and

  17. Collaborative Metaliteracy: Putting the New Information Literacy Framework into (Digital) Practice

    ERIC Educational Resources Information Center

    Gersch, Beate; Lampner, Wendy; Turner, Dudley

    2016-01-01

    This article describes a course-integrated collaborative project between a subject librarian, a communication professor, and an instructional designer that illustrates how the TPACK (Technological Pedagogical Content Knowledge) framework, developed by Mishra and Koehler (2006), and the new ACRL Framework for Information Literacy (Framework)…

  18. Framework for Human Health Risk Assessment to Inform Decision Making

    EPA Pesticide Factsheets

    The purpose of this document is to describe a Framework for conducting human health risk assessments that are responsive to the needs of decision‐making processes in the U.S. Environmental Protection Agency (EPA).

  19. Neuroscience, moral reasoning, and the law.

    PubMed

    Knabb, Joshua J; Welsh, Robert K; Ziebell, Joseph G; Reimer, Kevin S

    2009-01-01

    Modern advancements in functional magnetic resonance imaging (fMRI) technology have given neuroscientists the opportunity to more fully appreciate the brain's contribution to human behavior and decision making. Morality and moral reasoning are relative newcomers to the growing literature on decision neuroscience. With recent attention given to the salience of moral factors (e.g. moral emotions, moral reasoning) in the process of decision making, neuroscientists have begun to offer helpful frameworks for understanding the interplay between the brain, morality, and human decision making. These frameworks are relatively unfamiliar to the community of forensic psychologists, despite the fact that they offer an improved understanding of judicial decision making from a biological perspective. This article presents a framework reviewing how event-feature-emotion complexes (EFEC) are relevant to jurors and understanding complex criminal behavior. Future directions regarding converging fields of neuroscience and legal decision making are considered.

  20. Teaching neuroscience at a religious institution: pedagogical models for handling neuroscience and theology.

    PubMed

    Struthers, William M

    2003-01-01

    The interdisciplinary nature of neuroscience makes it one of the most fascinating and complex subjects to address in the classroom. This can be compounded, however, by the addition of theology or a faith-related context at a religious institution (RI). The addition of theology and faith can enrich student appreciation and understanding of neuroscience and stimulate discussion in the classroom. This provides a practical way to make the course content relevant to students who may see neuroscience as antagonistic towards their faith. Over the past century questions of human experience and personhood that were long held to be under the authority of religion now can be addressed from findings in neuroscience. While there has been debate on a variety of topics which range from positions on origins to ethical questions about the nature of research (i.e. stem cells, cloning), it is important that teaching faculty at RIs be prepared to deal with the hard questions faced by students of faith. Recommendations for faculty are given including: self assessment of personal position on matters of faith and science, framing a number of models for the integration of neuroscience and theology, 'Worldviews', and mentoring students who are struggling with reconciling their faith with neuroscience. While this paper is designed for teachers at RIs, it may also aid teaching faculty at other institutions who may benefit from an awareness of this framework and aid in teaching students of faith in a secular setting.

  1. Neuroscience and education: prime time to build the bridge.

    PubMed

    Sigman, Mariano; Peña, Marcela; Goldin, Andrea P; Ribeiro, Sidarta

    2014-04-01

    As neuroscience gains social traction and entices media attention, the notion that education has much to benefit from brain research becomes increasingly popular. However, it has been argued that the fundamental bridge toward education is cognitive psychology, not neuroscience. We discuss four specific cases in which neuroscience synergizes with other disciplines to serve education, ranging from very general physiological aspects of human learning such as nutrition, exercise and sleep, to brain architectures that shape the way we acquire language and reading, and neuroscience tools that increasingly allow the early detection of cognitive deficits, especially in preverbal infants. Neuroscience methods, tools and theoretical frameworks have broadened our understanding of the mind in a way that is highly relevant to educational practice. Although the bridge's cement is still fresh, we argue why it is prime time to march over it.

  2. New Frameworks for Detecting and Minimizing Information Leakage in Anonymized Network Data

    DTIC Science & Technology

    2011-10-01

    FORCE RESEARCH LABORATORY INFORMATION DIRECTORATE NEW FRAMEWORKS FOR DETECTING AND MINIMIZING INFORMATION LEAKAGE IN ANONYMIZED NETWORK...FRAMEWORKS FOR DETECTING AND MINIMIZING INFORMATION LEAKAGE IN ANONYMIZED NETWORK DATA 5a. CONTRACT NUMBER FA8750-08-2-0147 5b. GRANT NUMBER N/A...risk, high-value data is that of trace anonymization - a process of sanitizing data before release so that information of concern cannot be extracted

  3. An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network.

    PubMed

    Hettiarachchi, Imali T; Mohamed, Shady; Nyhof, Luke; Nahavandi, Saeid

    2013-01-01

    Recently effective connectivity studies have gained significant attention among the neuroscience community as Electroencephalography (EEG) data with a high time resolution can give us a wider understanding of the information flow within the brain. Among other tools used in effective connectivity analysis Granger Causality (GC) has found a prominent place. The GC analysis, based on strictly causal multivariate autoregressive (MVAR) models does not account for the instantaneous interactions among the sources. If instantaneous interactions are present, GC based on strictly causal MVAR will lead to erroneous conclusions on the underlying information flow. Thus, the work presented in this paper applies an extended MVAR (eMVAR) model that accounts for the zero lag interactions. We propose a constrained adaptive Kalman filter (CAKF) approach for the eMVAR model identification and demonstrate that this approach performs better than the short time windowing-based adaptive estimation when applied to information flow analysis.

  4. Neuromarketing and consumer neuroscience: contributions to neurology

    PubMed Central

    2013-01-01

    Background ‘Neuromarketing’ is a term that has often been used in the media in recent years. These public discussions have generally centered around potential ethical aspects and the public fear of negative consequences for society in general, and consumers in particular. However, positive contributions to the scientific discourse from developing a biological model that tries to explain context-situated human behavior such as consumption have often been neglected. We argue for a differentiated terminology, naming commercial applications of neuroscientific methods ‘neuromarketing’ and scientific ones ‘consumer neuroscience’. While marketing scholars have eagerly integrated neuroscientific evidence into their theoretical framework, neurology has only recently started to draw its attention to the results of consumer neuroscience. Discussion In this paper we address key research topics of consumer neuroscience that we think are of interest for neurologists; namely the reward system, trust and ethical issues. We argue that there are overlapping research topics in neurology and consumer neuroscience where both sides can profit from collaboration. Further, neurologists joining the public discussion of ethical issues surrounding neuromarketing and consumer neuroscience could contribute standards and experience gained in clinical research. Summary We identify the following areas where consumer neuroscience could contribute to the field of neurology: First, studies using game paradigms could help to gain further insights into the underlying pathophysiology of pathological gambling in Parkinson’s disease, frontotemporal dementia, epilepsy, and Huntington’s disease. Second, we identify compulsive buying as a common interest in neurology and consumer neuroscience. Paradigms commonly used in consumer neuroscience could be applied to patients suffering from Parkinson’s disease and frontotemporal dementia to advance knowledge of this important behavioral symptom

  5. A Model for Bridging the Gap between Neuroscience and Education

    ERIC Educational Resources Information Center

    Tommerdahl, Jodi

    2010-01-01

    As the brain sciences make advances in our understanding of how the human brain functions, many educators are looking to findings from the neurosciences to inform classroom teaching methodologies. This paper takes the view that the neurosciences are an excellent source of knowledge regarding learning processes, but also provides a warning…

  6. Translating Developmental Neuroscience to Substance Use Prevention

    PubMed Central

    Riggs, Nathaniel R.

    2015-01-01

    Several preventive interventions have demonstrated efficacy in reducing substance use. However, opportunities exist to further improve prevention approaches. The application of recent advances in developmental neuroscience can inform the design, implementation, and evaluation of substance use prevention programs. This paper first briefly describes the developmental integration of the prefrontal cortex with emotion and motivation centers of the brain, and the implications of this process for substance use vulnerability. Discussed next are specific examples of how developmental neuroscience can inform prevention timing, development, and evaluation. Contextual considerations are then suggested including a critical role for schools in substance misuse prevention. Finally, current theoretical and methodological challenges to the translation of developmental neuroscience to substance use prevention are discussed. PMID:26236576

  7. [Neurosciences in Bordeaux].

    PubMed

    Le Moal, Michel; Battin, Jacques; Bioulac, Bernard; Bourgeois, Marc Louis; Henry, Patrick; Vital, Claude; Vincent, Jean-Didier

    2008-04-01

    The Bordeaux Neuroscience Institute brings together all the disciplines that constitute the clinical and experimental neurosciences. Outside of the Paris region, the Institute represents the largest community of researchers working on the nervous system. The aim of this brief historical piece is to describe how neuroscientists in Bordeaux are the heirs to a long neuropsychiatric tradition established by pioneers of national and international renown. This tradition has been maintained, without interruption, through many generations. The careers and scientific work of these great neurologists and psychiatrists are briefly evoked, and particularly those of A. Pitres, E. Régis and E. Azam in the 19th century; and, in the 20th century, J. Abadie, H. Verger and R. Cruchet. The determining influence of P Delmas-Marsalet (1898-1977), Professor of Neuropsychiatry, on the development of modern neurosciences in Bordeaux is recalled through his work, his teachings, and his numerous students.

  8. Information Foraging Theory: A Framework for Intelligence Analysis

    DTIC Science & Technology

    2014-11-01

    constraints facing intelligence analysts - information overload and severe time limitations. ii DRDC-RDDC-2014-R115 Résumé …….. La...collected information goes unanalysed or that most collected data is analysed only incompletely or inadequately. Information overload , combined...IFT) as a potential remedy to the problems of information overload and extreme time pressure faced by intelligence analysts. Military intelligence

  9. Perspectives on Information Literacy: A Framework for Conceptual Understanding

    ERIC Educational Resources Information Center

    Addison, Colleen; Meyers, Eric

    2013-01-01

    Information literacy, 40 years since the term was coined, remains a conceptually contested aspect of library and information science research. This paper uses a review of the literature related to the concept of information literacy to identify three different perspectives, their historical origins, and connection to library and information…

  10. Terminology for neuroscience data discovery: multi-tree syntax and investigator-derived semantics.

    PubMed

    Gardner, Daniel; Goldberg, David H; Grafstein, Bernice; Robert, Adrian; Gardner, Esther P

    2008-09-01

    The Neuroscience Information Framework (NIF), developed for the NIH Blueprint for Neuroscience Research and available at http://nif.nih.gov and http://neurogateway.org , is built upon a set of coordinated terminology components enabling data and web-resource description and selection. Core NIF terminologies use a straightforward syntax designed for ease of use and for navigation by familiar web interfaces, and readily exportable to aid development of relational-model databases for neuroscience data sharing. Datasets, data analysis tools, web resources, and other entities are characterized by multiple descriptors, each addressing core concepts, including data type, acquisition technique, neuroanatomy, and cell class. Terms for each concept are organized in a tree structure, providing is-a and has-a relations. Broad general terms near each root span the category or concept and spawn more detailed entries for specificity. Related but distinct concepts (e.g., brain area and depth) are specified by separate trees, for easier navigation than would be required by graph representation. Semantics enabling NIF data discovery were selected at one or more workshops by investigators expert in particular systems (vision, olfaction, behavioral neuroscience, neurodevelopment), brain areas (cerebellum, thalamus, hippocampus), preparations (molluscs, fly), diseases (neurodegenerative disease), or techniques (microscopy, computation and modeling, neurogenetics). Workshop-derived integrated term lists are available Open Source at http://brainml.org ; a complete list of participants is at http://brainml.org/workshops.

  11. Proposing a Theoretical Framework for Digital Age Youth Information Behavior Building upon Radical Change Theory

    ERIC Educational Resources Information Center

    Koh, Kyungwon

    2011-01-01

    Contemporary young people are engaged in a variety of information behaviors, such as information seeking, using, sharing, and creating. The ways youth interact with information have transformed in the shifting digital information environment; however, relatively little empirical research exists and no theoretical framework adequately explains…

  12. A Linguistic Framework for Assessing the Quality of Written Patient Information: Its Use in Assessing Methotrexate Information for Rheumatoid Arthritis

    ERIC Educational Resources Information Center

    Clerehan, Rosemary; Buchbinder, Rachelle; Moodie, Jane

    2005-01-01

    Patient information leaflets are an important adjunct to verbal exchange between doctor and patient. Their value is dependent upon whether they contain useful information from the viewpoint of the patient and are easily understood. We developed a framework based upon linguistic theory for assessing the quality of written patient information and…

  13. The neuroscience of learning: beyond the Hebbian synapse.

    PubMed

    Gallistel, C R; Matzel, Louis D

    2013-01-01

    From the traditional perspective of associative learning theory, the hypothesis linking modifications of synaptic transmission to learning and memory is plausible. It is less so from an information-processing perspective, in which learning is mediated by computations that make implicit commitments to physical and mathematical principles governing the domains where domain-specific cognitive mechanisms operate. We compare the properties of associative learning and memory to the properties of long-term potentiation, concluding that the properties of the latter do not explain the fundamental properties of the former. We briefly review the neuroscience of reinforcement learning, emphasizing the representational implications of the neuroscientific findings. We then review more extensively findings that confirm the existence of complex computations in three information-processing domains: probabilistic inference, the representation of uncertainty, and the representation of space. We argue for a change in the conceptual framework within which neuroscientists approach the study of learning mechanisms in the brain.

  14. Implications of the Naturalistic Decision Making Framework for Information Dominance.

    DTIC Science & Technology

    1997-07-01

    Information Dominance , defined as an operational advantage obtained through superior effectiveness of informational activity. NDM is the study of how people use their experience to make decisions in field settings. Expertise was considered at both the individual and the team level of decision making. The report defines the components of expertise and identifies obstacles to the acquisition of Information Dominance . These obstacles include: (1) excessive data, (2) pre-processed data, (3) excessive procedures, (4) performing formal analyses, (5) passive

  15. The Cross-domain Information Exchange Framework (CIEF)

    DTIC Science & Technology

    2008-05-21

    a useful evolutionary step. We are current probing the functionality of Web 2.0 Internet application that largely connects information resources in...business transactions that simplify the purchasing and arrival of inventory, Web 2.0 can be seen as another level of information integration and services...built around the performance of tasks. 3. The Problem While it is true that isolated pockets of Web 2.0 information exchange do not exist, these

  16. From Cognitive to Educational Neuroscience

    ERIC Educational Resources Information Center

    Dündar, Sefa; Ayvaz, Ülkü

    2016-01-01

    In recent years, several theoretical discussions as to the relationship between neuroscience and education have been held. Researchers have started to have cooperation over neuroscience and the interdisciplinary researches in which education is included. It was found that there were interactions between cognitive neuroscience and educational…

  17. Neuroscience and education: myths and messages.

    PubMed

    Howard-Jones, Paul A

    2014-12-01

    For several decades, myths about the brain - neuromyths - have persisted in schools and colleges, often being used to justify ineffective approaches to teaching. Many of these myths are biased distortions of scientific fact. Cultural conditions, such as differences in terminology and language, have contributed to a 'gap' between neuroscience and education that has shielded these distortions from scrutiny. In recent years, scientific communications across this gap have increased, although the messages are often distorted by the same conditions and biases as those responsible for neuromyths. In the future, the establishment of a new field of inquiry that is dedicated to bridging neuroscience and education may help to inform and to improve these communications.

  18. A Framework to Support Research on Informal Inferential Reasoning

    ERIC Educational Resources Information Center

    Zieffler, Andrew; Garfield, Joan; delMas, Robert; Reading, Chris

    2008-01-01

    Informal inferential reasoning is a relatively recent concept in the research literature. Several research studies have defined this type of cognitive process in slightly different ways. In this paper, a working definition of informal inferential reasoning based on an analysis of the key aspects of statistical inference, and on research from…

  19. A Framework for the Governance of Information Security

    ERIC Educational Resources Information Center

    Edwards, Charles K.

    2013-01-01

    Information security is a complex issue, which is very critical for success of modern businesses. It can be implemented with the help of well-tested global standards and best practices. However, it has been studied that the human aspects of information security compliance pose significant challenge to its practitioners. There has been significant…

  20. International Computer and Information Literacy Study: Assessment Framework

    ERIC Educational Resources Information Center

    Fraillon, Julian; Schulz, Wolfram; Ainley, John

    2013-01-01

    The purpose of the International Computer and Information Literacy Study 2013 (ICILS 2013) is to investigate, in a range of countries, the ways in which young people are developing "computer and information literacy" (CIL) to support their capacity to participate in the digital age. To achieve this aim, the study will assess student…

  1. Conceptual Challenges and Directions for Social Neuroscience

    PubMed Central

    Adolphs, Ralph

    2010-01-01

    Social neuroscience has been enormously successful and is making major contributions to fields ranging from psychiatry to economics. Yet deep and interesting conceptual challenges abound. Is social information processing domain specific? Is it universal or susceptible to individual differences and effects of culture? Are there uniquely human social cognitive abilities? What is the “social brain,” and how do we map social psychological processes onto it? Animal models together with fMRI and other cognitive neuroscience approaches in humans are providing an unprecedented level of detail and many surprising results. It may well be that social neuroscience in the near future will give us an entirely new view of who we are, how we evolved, and what might be in store for the future of our species. PMID:20346753

  2. Cognitive Network Neuroscience

    PubMed Central

    Medaglia, John D.; Lynall, Mary-Ellen; Bassett, Danielle S.

    2016-01-01

    Network science provides theoretical, computational, and empirical tools that can be used to understand the structure and function of the human brain in novel ways using simple concepts and mathematical representations. Network neuroscience is a rapidly growing field that is providing considerable insight into human structural connectivity, functional connectivity while at rest, changes in functional networks over time (dynamics), and how these properties differ in clinical populations. In addition, a number of studies have begun to quantify network characteristics in a variety of cognitive processes and provide a context for understanding cognition from a network perspective. In this review, we outline the contributions of network science to cognitive neuroscience. We describe the methodology of network science as applied to the particular case of neuroimaging data and review its uses in investigating a range of cognitive functions including sensory processing, language, emotion, attention, cognitive control, learning, and memory. In conclusion, we discuss current frontiers and the specific challenges that must be overcome to integrate these complementary disciplines of network science and cognitive neuroscience. Increased communication between cognitive neuroscientists and network scientists could lead to significant discoveries under an emerging scientific intersection known as cognitive network neuroscience. PMID:25803596

  3. Linking Neuroscience and Psychoanalysis.

    ERIC Educational Resources Information Center

    Habicht, Manuela H.

    This review discusses the relationship between neuroscience and psychoanalysis and introduces a new scientific method called neuro-psychoanalysis, a combination of the two phenomena. A significant difference between the two is that psychoanalysis has not evolved scientifically since it has not developed objective methods for testing ideas that it…

  4. Neuroscience, Magic, and Counseling

    ERIC Educational Resources Information Center

    Echterling, Lennis G.; Presbury, Jack; Cowan, Eric

    2012-01-01

    Recent findings in neuroscience have identified principles, such as attention management and change blindness, which stage magicians exploit to create illusions. Neuroscientists have also revealed how mirror neurons and oxytocin enhance the impact of magic. In other words, magicians are just as much practitioners of sleight of mind as they are of…

  5. Neuroscience and Education

    ERIC Educational Resources Information Center

    Goswami, U.

    2004-01-01

    Neuroscience is a relatively new discipline encompassing neurology, psychology and biology. It has made great strides in the last 100 years, during which many aspects of the physiology, biochemistry, pharmacology and structure of the vertebrate brain have been understood. Understanding of some of the basic perceptual, cognitive, attentional,…

  6. Neuroscience in Schools

    ERIC Educational Resources Information Center

    Schachter, Ron

    2012-01-01

    For generations, teachers in the early elementary years have urged their young pupils to use their brains. They're still offering the same encouragement, but nowadays they can know even more about what they're talking about. Recent advances in neuroscience--from detailed scans of the brain to ongoing research on teaching methods that increase…

  7. Cognitive network neuroscience.

    PubMed

    Medaglia, John D; Lynall, Mary-Ellen; Bassett, Danielle S

    2015-08-01

    Network science provides theoretical, computational, and empirical tools that can be used to understand the structure and function of the human brain in novel ways using simple concepts and mathematical representations. Network neuroscience is a rapidly growing field that is providing considerable insight into human structural connectivity, functional connectivity while at rest, changes in functional networks over time (dynamics), and how these properties differ in clinical populations. In addition, a number of studies have begun to quantify network characteristics in a variety of cognitive processes and provide a context for understanding cognition from a network perspective. In this review, we outline the contributions of network science to cognitive neuroscience. We describe the methodology of network science as applied to the particular case of neuroimaging data and review its uses in investigating a range of cognitive functions including sensory processing, language, emotion, attention, cognitive control, learning, and memory. In conclusion, we discuss current frontiers and the specific challenges that must be overcome to integrate these complementary disciplines of network science and cognitive neuroscience. Increased communication between cognitive neuroscientists and network scientists could lead to significant discoveries under an emerging scientific intersection known as cognitive network neuroscience.

  8. Describing linguistic information in a behavioural framework: Possible or not?

    SciTech Connect

    De Cooman, G.

    1996-12-31

    The paper discusses important aspects of the representation of linguistic information, using imprecise probabilities with a behavioural interpretation. We define linguistic information as the information conveyed by statements in natural language, but restrict ourselves to simple affirmative statements of the type {open_quote}subject-is-predicate{close_quote}. Taking the behavioural stance, as it is described in detail, we investigate whether it is possible to give a mathematical model for this kind of information. In particular, we evaluate Zadeli`s suggestion that we should use possibility measures to this end. We come to tile conclusion that, generally speaking, possibility measures are possibility models for linguistic information, but that more work should be done in order to evaluate the suggestion that they may be the only ones.

  9. Large scale digital atlases in neuroscience

    NASA Astrophysics Data System (ADS)

    Hawrylycz, M.; Feng, D.; Lau, C.; Kuan, C.; Miller, J.; Dang, C.; Ng, L.

    2014-03-01

    Imaging in neuroscience has revolutionized our current understanding of brain structure, architecture and increasingly its function. Many characteristics of morphology, cell type, and neuronal circuitry have been elucidated through methods of neuroimaging. Combining this data in a meaningful, standardized, and accessible manner is the scope and goal of the digital brain atlas. Digital brain atlases are used today in neuroscience to characterize the spatial organization of neuronal structures, for planning and guidance during neurosurgery, and as a reference for interpreting other data modalities such as gene expression and connectivity data. The field of digital atlases is extensive and in addition to atlases of the human includes high quality brain atlases of the mouse, rat, rhesus macaque, and other model organisms. Using techniques based on histology, structural and functional magnetic resonance imaging as well as gene expression data, modern digital atlases use probabilistic and multimodal techniques, as well as sophisticated visualization software to form an integrated product. Toward this goal, brain atlases form a common coordinate framework for summarizing, accessing, and organizing this knowledge and will undoubtedly remain a key technology in neuroscience in the future. Since the development of its flagship project of a genome wide image-based atlas of the mouse brain, the Allen Institute for Brain Science has used imaging as a primary data modality for many of its large scale atlas projects. We present an overview of Allen Institute digital atlases in neuroscience, with a focus on the challenges and opportunities for image processing and computation.

  10. Towards a Semiotic Information Position Framework for Network Centric Warfare

    DTIC Science & Technology

    2011-06-01

    Centric Warfare Topics Information and Knowledge Exploration Information and Knowledge Exploitation Concepts, Theory , and Policy Saša...Transformation Roadmaps are based on the NCW theory [45], and NEC is at the core of 16th ICCRTS: Collective C2 in Multinational Civil-Military Operations...situational awareness, has long been a key aspect of military theory . For instance, Clausewitz talked about the “fog of war” [12, p. 104] and Sun Tzu wrote

  11. Integrated information in discrete dynamical systems: motivation and theoretical framework.

    PubMed

    Balduzzi, David; Tononi, Giulio

    2008-06-13

    This paper introduces a time- and state-dependent measure of integrated information, phi, which captures the repertoire of causal states available to a system as a whole. Specifically, phi quantifies how much information is generated (uncertainty is reduced) when a system enters a particular state through causal interactions among its elements, above and beyond the information generated independently by its parts. Such mathematical characterization is motivated by the observation that integrated information captures two key phenomenological properties of consciousness: (i) there is a large repertoire of conscious experiences so that, when one particular experience occurs, it generates a large amount of information by ruling out all the others; and (ii) this information is integrated, in that each experience appears as a whole that cannot be decomposed into independent parts. This paper extends previous work on stationary systems and applies integrated information to discrete networks as a function of their dynamics and causal architecture. An analysis of basic examples indicates the following: (i) phi varies depending on the state entered by a network, being higher if active and inactive elements are balanced and lower if the network is inactive or hyperactive. (ii) phi varies for systems with identical or similar surface dynamics depending on the underlying causal architecture, being low for systems that merely copy or replay activity states. (iii) phi varies as a function of network architecture. High phi values can be obtained by architectures that conjoin functional specialization with functional integration. Strictly modular and homogeneous systems cannot generate high phi because the former lack integration, whereas the latter lack information. Feedforward and lattice architectures are capable of generating high phi but are inefficient. (iv) In Hopfield networks, phi is low for attractor states and neutral states, but increases if the networks are optimized

  12. Integrated Information in Discrete Dynamical Systems: Motivation and Theoretical Framework

    PubMed Central

    Balduzzi, David; Tononi, Giulio

    2008-01-01

    This paper introduces a time- and state-dependent measure of integrated information, φ, which captures the repertoire of causal states available to a system as a whole. Specifically, φ quantifies how much information is generated (uncertainty is reduced) when a system enters a particular state through causal interactions among its elements, above and beyond the information generated independently by its parts. Such mathematical characterization is motivated by the observation that integrated information captures two key phenomenological properties of consciousness: (i) there is a large repertoire of conscious experiences so that, when one particular experience occurs, it generates a large amount of information by ruling out all the others; and (ii) this information is integrated, in that each experience appears as a whole that cannot be decomposed into independent parts. This paper extends previous work on stationary systems and applies integrated information to discrete networks as a function of their dynamics and causal architecture. An analysis of basic examples indicates the following: (i) φ varies depending on the state entered by a network, being higher if active and inactive elements are balanced and lower if the network is inactive or hyperactive. (ii) φ varies for systems with identical or similar surface dynamics depending on the underlying causal architecture, being low for systems that merely copy or replay activity states. (iii) φ varies as a function of network architecture. High φ values can be obtained by architectures that conjoin functional specialization with functional integration. Strictly modular and homogeneous systems cannot generate high φ because the former lack integration, whereas the latter lack information. Feedforward and lattice architectures are capable of generating high φ but are inefficient. (iv) In Hopfield networks, φ is low for attractor states and neutral states, but increases if the networks are optimized to

  13. The Skills Framework for the Information Age: Engaging Stakeholders in Curriculum Design

    ERIC Educational Resources Information Center

    von Konsky, Brian R.; Miller, Charlynn; Jones, Asheley

    2016-01-01

    This paper reports on a research project, examining the role of the Skills Framework for the Information Age (SFIA) in Information and Communications Technology (ICT) curriculum design and management. A goal was to investigate how SFIA informs a top-down approach to curriculum design, beginning with a set of skills that define a particular career…

  14. Applying the Framework for Information Literacy to the Developmental Education Classroom

    ERIC Educational Resources Information Center

    Garcia, Larissa

    2014-01-01

    Translating the new Framework for Information Literacy in Higher Education (ACRL November 2014) into learning outcomes, instructional content, and assessments might appear to be an overwhelming task; however, in many cases the revision exemplifies how many librarians have been teaching information literacy in the digital information landscape.…

  15. A security framework for nationwide health information exchange based on telehealth strategy.

    PubMed

    Zaidan, B B; Haiqi, Ahmed; Zaidan, A A; Abdulnabi, Mohamed; Kiah, M L Mat; Muzamel, Hussaen

    2015-05-01

    This study focuses on the situation of health information exchange (HIE) in the context of a nationwide network. It aims to create a security framework that can be implemented to ensure the safe transmission of health information across the boundaries of care providers in Malaysia and other countries. First, a critique of the major elements of nationwide health information networks is presented from the perspective of security, along with such topics as the importance of HIE, issues, and main approaches. Second, a systematic evaluation is conducted on the security solutions that can be utilized in the proposed nationwide network. Finally, a secure framework for health information transmission is proposed within a central cloud-based model, which is compatible with the Malaysian telehealth strategy. The outcome of this analysis indicates that a complete security framework for a global structure of HIE is yet to be defined and implemented. Our proposed framework represents such an endeavor and suggests specific techniques to achieve this goal.

  16. Telehealth and the national health information technology strategic framework.

    PubMed

    Speedie, Stuart M; Davies, Diane

    2006-01-01

    Telehealth has a role in the federally sponsored plan for health information technology (HIT) that encompasses electronic health records (EHRs) and the National Health Information Network (NHIN). The goals of telehealth and the national plan are complementary. One focuses on improving access to high quality health-care services and the other on the information systems to support those services. Telehealth needs the fully realized EHR to provide the best possible care when patients are geographically and chronologically separated from their providers. Some current telehealth projects are natural examples of how a distributed, accessible EHR such as that envisaged by the plan can be used to provide better care. The experiences of telehealth in organizing large networks of heterogeneous health-care entities can provide useful lessons as the process of implementing HIT moves forward.

  17. Representational similarity analysis - connecting the branches of systems neuroscience.

    PubMed

    Kriegeskorte, Nikolaus; Mur, Marieke; Bandettini, Peter

    2008-01-01

    A FUNDAMENTAL CHALLENGE FOR SYSTEMS NEUROSCIENCE IS TO QUANTITATIVELY RELATE ITS THREE MAJOR BRANCHES OF RESEARCH: brain-activity measurement, behavioral measurement, and computational modeling. Using measured brain-activity patterns to evaluate computational network models is complicated by the need to define the correspondency between the units of the model and the channels of the brain-activity data, e.g., single-cell recordings or voxels from functional magnetic resonance imaging (fMRI). Similar correspondency problems complicate relating activity patterns between different modalities of brain-activity measurement (e.g., fMRI and invasive or scalp electrophysiology), and between subjects and species. In order to bridge these divides, we suggest abstracting from the activity patterns themselves and computing representational dissimilarity matrices (RDMs), which characterize the information carried by a given representation in a brain or model. Building on a rich psychological and mathematical literature on similarity analysis, we propose a new experimental and data-analytical framework called representational similarity analysis (RSA), in which multi-channel measures of neural activity are quantitatively related to each other and to computational theory and behavior by comparing RDMs. We demonstrate RSA by relating representations of visual objects as measured with fMRI in early visual cortex and the fusiform face area to computational models spanning a wide range of complexities. The RDMs are simultaneously related via second-level application of multidimensional scaling and tested using randomization and bootstrap techniques. We discuss the broad potential of RSA, including novel approaches to experimental design, and argue that these ideas, which have deep roots in psychology and neuroscience, will allow the integrated quantitative analysis of data from all three branches, thus contributing to a more unified systems neuroscience.

  18. Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience

    PubMed Central

    Kriegeskorte, Nikolaus; Mur, Marieke; Bandettini, Peter

    2008-01-01

    A fundamental challenge for systems neuroscience is to quantitatively relate its three major branches of research: brain-activity measurement, behavioral measurement, and computational modeling. Using measured brain-activity patterns to evaluate computational network models is complicated by the need to define the correspondency between the units of the model and the channels of the brain-activity data, e.g., single-cell recordings or voxels from functional magnetic resonance imaging (fMRI). Similar correspondency problems complicate relating activity patterns between different modalities of brain-activity measurement (e.g., fMRI and invasive or scalp electrophysiology), and between subjects and species. In order to bridge these divides, we suggest abstracting from the activity patterns themselves and computing representational dissimilarity matrices (RDMs), which characterize the information carried by a given representation in a brain or model. Building on a rich psychological and mathematical literature on similarity analysis, we propose a new experimental and data-analytical framework called representational similarity analysis (RSA), in which multi-channel measures of neural activity are quantitatively related to each other and to computational theory and behavior by comparing RDMs. We demonstrate RSA by relating representations of visual objects as measured with fMRI in early visual cortex and the fusiform face area to computational models spanning a wide range of complexities. The RDMs are simultaneously related via second-level application of multidimensional scaling and tested using randomization and bootstrap techniques. We discuss the broad potential of RSA, including novel approaches to experimental design, and argue that these ideas, which have deep roots in psychology and neuroscience, will allow the integrated quantitative analysis of data from all three branches, thus contributing to a more unified systems neuroscience. PMID:19104670

  19. The ACRL framework for information literacy in higher education: implications for health sciences librarianship.

    PubMed

    Knapp, Maureen; Brower, Stewart

    2014-01-01

    The Association of College and Research Libraries is developing a new framework of information literacy concepts that will revise and replace the previously adopted standards. This framework consists of six threshold concepts that are more flexible than the original standards, and that work to identify both the function and the feelings behind information literacy education practices. This column outlines the new tentative framework with an eye toward its implications for health sciences libraries, and suggests ways the medical library community might work with this new document.

  20. Arizona Law Enforcement Biometrics Identification and Information Sharing Technology Framework

    DTIC Science & Technology

    2010-03-01

    accurate systems were from NEC of Japan, SAGEM of France and Cogent, an American company (Bulman, 2004). The performance of these three systems was...into a docking station attached to a laptop in a patrol car or a docking station attached to a PC at a remote location. The image can also be...transmitted using Bluetooth communications to the laptop in the patrol car. Figure 1 illustrates how images are transmitted and information received by an

  1. Common Data Model for Neuroscience Data and Data Model Exchange

    PubMed Central

    Gardner, Daniel; Knuth, Kevin H.; Abato, Michael; Erde, Steven M.; White, Thomas; DeBellis, Robert; Gardner, Esther P.

    2001-01-01

    Objective: Generalizing the data models underlying two prototype neurophysiology databases, the authors describe and propose the Common Data Model (CDM) as a framework for federating a broad spectrum of disparate neuroscience information resources. Design: Each component of the CDM derives from one of five superclasses—data, site, method, model, and reference—or from relations defined between them. A hierarchic attribute-value scheme for metadata enables interoperability with variable tree depth to serve specific intra- or broad inter-domain queries. To mediate data exchange between disparate systems, the authors propose a set of XML-derived schema for describing not only data sets but data models. These include biophysical description markup language (BDML), which mediates interoperability between data resources by providing a meta-description for the CDM. Results: The set of superclasses potentially spans data needs of contemporary neuroscience. Data elements abstracted from neurophysiology time series and histogram data represent data sets that differ in dimension and concordance. Site elements transcend neurons to describe subcellular compartments, circuits, regions, or slices; non-neuroanatomic sites include sequences to patients. Methods and models are highly domain-dependent. Conclusions: True federation of data resources requires explicit public description, in a metalanguage, of the contents, query methods, data formats, and data models of each data resource. Any data model that can be derived from the defined superclasses is potentially conformant and interoperability can be enabled by recognition of BDML-described compatibilities. Such metadescriptions can buffer technologic changes. PMID:11141510

  2. Neuroscience and Global Learning.

    PubMed

    Ruscio, Michael G; Korey, Chris; Birck, Anette

    2015-01-01

    Traditional study abroad experiences take a variety of forms with most incorporating extensive cultural emersion and a focus on global learning skills. Here we ask the question: Can this type of experience co-exist with a quality scientific experience and continued progression through a typically rigorous undergraduate neuroscience curriculum? What are the potential costs and benefits of this approach? How do we increase student awareness of study abroad opportunities and inspire them to participate? We outline programs that have done this with some success and point out ways to cultivate this approach for future programs. These programs represent a variety of approaches in both their duration and role in a given curriculum. We discuss a one-week first year seminar program in Berlin, a summer study abroad course in Munich and Berlin, semester experiences and other options offered through the Danish Institute for Study Abroad in Copenhagen. Each of these experiences offers opportunities for interfacing global learning with neuroscience.

  3. Neuroscience and Global Learning

    PubMed Central

    Ruscio, Michael G.; Korey, Chris; Birck, Anette

    2015-01-01

    Traditional study abroad experiences take a variety of forms with most incorporating extensive cultural emersion and a focus on global learning skills. Here we ask the question: Can this type of experience co-exist with a quality scientific experience and continued progression through a typically rigorous undergraduate neuroscience curriculum? What are the potential costs and benefits of this approach? How do we increase student awareness of study abroad opportunities and inspire them to participate? We outline programs that have done this with some success and point out ways to cultivate this approach for future programs. These programs represent a variety of approaches in both their duration and role in a given curriculum. We discuss a one-week first year seminar program in Berlin, a summer study abroad course in Munich and Berlin, semester experiences and other options offered through the Danish Institute for Study Abroad in Copenhagen. Each of these experiences offers opportunities for interfacing global learning with neuroscience. PMID:26240528

  4. Neuroscience and education.

    PubMed

    Goswami, Usha

    2004-03-01

    Neuroscience is a relatively new discipline encompassing neurology, psychology and biology. It has made great strides in the last 100 years, during which many aspects of the physiology, biochemistry, pharmacology and structure of the vertebrate brain have been understood. Understanding of some of the basic perceptual, cognitive, attentional, emotional and mnemonic functions is also making progress, particularly since the advent of the cognitive neurosciences, which focus specifically on understanding higher level processes of cognition via imaging technology. Neuroimaging has enabled scientists to study the human brain at work in vivo, deepening our understanding of the very complex processes underpinning speech and language, thinking and reasoning, reading and mathematics. It seems timely, therefore, to consider how we might implement our increased understanding of brain development and brain function to explore educational questions.

  5. Feasibility of PRIME: A Cognitive Neuroscience-Informed Mobile App Intervention to Enhance Motivated Behavior and Improve Quality of Life in Recent Onset Schizophrenia

    PubMed Central

    Campellone, Timothy; Kim, Daniel; Truong, Brandy; Vergani, Silvia; Ward, Charlie; Vinogradov, Sophia

    2016-01-01

    in prognostically important psychosocial domains, (3) social networking via direct peer-to-peer messaging, and (4) community “moments feed” to capture and reinforce rewarding experiences and goal achievements. Users preferred an experience that highlighted several of the principles of self-determination theory, including the desire for more control of their future (autonomy and competence) and an approach that helps them improve existing relationships (relatedness). IDEO, also recommended an approach that was casual, friendly, and nonstigmatizing, which is in line with the recovery model of psychosis. After 12-weeks of using PRIME, participants used the app, on average, every other day, were actively engaged with its various features each time they logged in and retention and satisfaction was high (20/20, 100% retention, high satisfaction ratings). The iterative design process lead to a 2- to 3-fold increase in engagement from Stage 1 to Stage 2 in almost each aspect of the platform. Conclusions These results indicate that the neuroscience-informed mobile app, PRIME, is a feasible and acceptable intervention for young people with schizophrenia. PMID:27125771

  6. Immunogold cytochemistry in neuroscience.

    PubMed

    Amiry-Moghaddam, Mahmood; Ottersen, Ole Petter

    2013-07-01

    The complexity of the central nervous system calls for immunocytochemical procedures that allow target proteins to be localized with high precision and with opportunities for quantitation. Immunogold procedures stand out as particularly powerful in this regard. Although these procedures have found wide application in the neuroscience community, they present limitations and pitfalls that must be taken into account. At the same time, these procedures offer potentials that remain to be fully realized.

  7. Building bridges between neuroscience, cognition and education with predictive modeling

    SciTech Connect

    Stringer, Steve; Tommerdahl, Jodi

    2015-05-06

    As the field of Mind, Brain, and Education seeks new ways to credibly bridge the gap between neuroscience, the cognitive sciences, and education, various connections are being developed and tested. In this article, we present a framework and offers examples of one approach, predictive modeling within a virtual educational system that can include representations from the neural level to the policy level. Researchers could calibrate, test, and question the model, potentially providing quicker, more efficient, and more responsible ways of making advances in the developing educational field. Likewise, virtual investigations using models with this sort of capability can supplement the valuable information derived from carrying out policy and instructional experiments in real educational contexts.

  8. Building bridges between neuroscience, cognition and education with predictive modeling

    DOE PAGES

    Stringer, Steve; Tommerdahl, Jodi

    2015-05-06

    As the field of Mind, Brain, and Education seeks new ways to credibly bridge the gap between neuroscience, the cognitive sciences, and education, various connections are being developed and tested. In this article, we present a framework and offers examples of one approach, predictive modeling within a virtual educational system that can include representations from the neural level to the policy level. Researchers could calibrate, test, and question the model, potentially providing quicker, more efficient, and more responsible ways of making advances in the developing educational field. Likewise, virtual investigations using models with this sort of capability can supplement themore » valuable information derived from carrying out policy and instructional experiments in real educational contexts.« less

  9. 75 FR 102 - Proposed Information Collection; Comment Request; Framework Adjustment 4 to the Monkfish Fishery...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2010-01-04

    ... regulatory steps taken to carry out the conservation and management objectives is to collect data from users... Information Collection; Comment Request; Framework Adjustment 4 to the Monkfish Fishery Management Plan AGENCY... . SUPPLEMENTARY INFORMATION: I. Abstract Under the Magnuson-Stevens Fishery Conservation and Management Act,...

  10. A Framework for the Utilization of Information Technology in Higher Education Admission Department

    ERIC Educational Resources Information Center

    McClea, Michael; Yen, David C.

    2005-01-01

    Purpose: Through an examination of the admission department at Miami University of Ohio and their use of information technology, a generalized framework for the use of information technology in university admissions is proposed. Design/methodology/approach: The paper was developed to start an introduction to the admission process and the role of…

  11. Neuroscience and "real world" practice: music as a therapeutic resource for children in zones of conflict.

    PubMed

    Osborne, Nigel

    2012-04-01

    Recent developments in music neuroscience are considered a source for reflection on, and evaluation and development of, musical therapeutic practice in the field, in particular, in relation to traumatized children and postconflict societies. Music neuroscience research is related to practice within a broad biopsychosocial framework. Here, examples are detailed of work from North Uganda, Palestine, and South Thailand.

  12. A Framework for evaluating the costs, effort, and value of nationwide health information exchange

    PubMed Central

    Zafar, Atif; Overhage, J Marc

    2010-01-01

    Objective The nationwide health information network (NHIN) has been proposed to securely link community and state health information exchange (HIE) entities to create a national, interoperable network for sharing healthcare data in the USA. This paper describes a framework for evaluating the costs, effort, and value of nationwide data exchange as the NHIN moves toward a production state. The paper further presents the results of an initial assessment of the framework by those engaged in HIE activities. Design Using a literature review and knowledge gained from active NHIN technology and policy development, the authors constructed a framework for evaluating the costs, effort, and value of data exchange between an HIE entity and the NHIN. Measurement An online survey was used to assess the perceived usefulness of the metrics in the framework among HIE professionals and researchers. Results The framework is organized into five broad categories: implementation; technology; policy; data; and value. Each category enumerates a variety of measures and measure types. Survey respondents generally indicated the framework contained useful measures for current and future use in HIE and NHIN evaluation. Answers varied slightly based on a respondent's participation in active development of NHIN components. Conclusion The proposed framework supports efforts to measure the costs, effort, and value associated with nationwide data exchange. Collecting longitudinal data along the NHIN's path to production should help with the development of an evidence base that will drive adoption, create value, and stimulate further investment in nationwide data exchange. PMID:20442147

  13. Neuroscience discipline science plan

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Over the past two decades, NASA's efforts in the neurosciences have developed into a program of research directed at understanding the acute changes that occur in the neurovestibular and sensorimotor systems during short-duration space missions. However, the proposed extended-duration flights of up to 28 days on the Shuttle orbiter and 6 months on Space Station Freedom, a lunar outpost, and Mars missions of perhaps 1-3 years in space, make it imperative that NASA's Life Sciences Division begin to concentrate research in the neurosciences on the chronic effects of exposure to microgravity on the nervous system. Major areas of research will be directed at understanding (1) central processing, (2) motor systems, (3) cognitive/spatial orientation, and (4) sensory receptors. The purpose of the Discipline Science Plan is to provide a conceptual strategy for NASA's Life Sciences Division research and development activities in the comprehensive area of neurosciences. It covers the significant research areas critical to NASA's programmatic requirements for the Extended-Duration Orbiter, Space Station Freedom, and exploration mission science activities. These science activities include ground-based and flight; basic, applied, and operational; and animal and human research and development. This document summarizes the current status of the program, outlines available knowledge, establishes goals and objectives, identifies science priorities, and defines critical questions in the subdiscipline areas of nervous system function. It contains a general plan that will be used by NASA Headquarters Program Offices and the field centers to review and plan basic, applied, and operational intramural and extramural research and development activities in this area.

  14. Value Assessment Frameworks for HTA Agencies: The Organization of Evidence-Informed Deliberative Processes.

    PubMed

    Baltussen, Rob; Paul Maria Jansen, Maarten; Bijlmakers, Leon; Grutters, Janneke; Kluytmans, Anouck; Reuzel, Rob P; Tummers, Marcia; der Wilt, Gert Jan van

    2017-02-01

    Priority setting in health care has been long recognized as an intrinsically complex and value-laden process. Yet, health technology assessment agencies (HTAs) presently employ value assessment frameworks that are ill fitted to capture the range and diversity of stakeholder values and thereby risk compromising the legitimacy of their recommendations. We propose "evidence-informed deliberative processes" as an alternative framework with the aim to enhance this legitimacy. This framework integrates two increasingly popular and complementary frameworks for priority setting: multicriteria decision analysis and accountability for reasonableness. Evidence-informed deliberative processes are, on one hand, based on early, continued stakeholder deliberation to learn about the importance of relevant social values. On the other hand, they are based on rational decision-making through evidence-informed evaluation of the identified values. The framework has important implications for how HTA agencies should ideally organize their processes. First, HTA agencies should take the responsibility of organizing stakeholder involvement. Second, agencies are advised to integrate their assessment and appraisal phases, allowing for the timely collection of evidence on values that are considered relevant. Third, HTA agencies should subject their decision-making criteria to public scrutiny. Fourth, agencies are advised to use a checklist of potentially relevant criteria and to provide argumentation for how each criterion affected the recommendation. Fifth, HTA agencies must publish their argumentation and install options for appeal. The framework should not be considered a blueprint for HTA agencies but rather an aspirational goal-agencies can take incremental steps toward achieving this goal.

  15. Development of a flexible higher education curriculum framework for geographic information science

    NASA Astrophysics Data System (ADS)

    Veenendaal, B.

    2014-04-01

    A wide range of geographic information science (GIScience) educational programs currently exist, the oldest now over 25 years. Offerings vary from those specifically focussed on geographic information science, to those that utilise geographic information systems in various applications and disciplines. Over the past two decades, there have been a number of initiatives to design curricula for GIScience, including the NCGIA Core Curriculum, GIS&T Body of Knowledge and the Geospatial Technology Competency Model developments. The rapid developments in geospatial technology, applications and organisations means that curricula need to constantly be updated and developed to maintain currency and relevance. This paper reviews the curriculum initiatives and outlines a new and flexible GIScience higher education curriculum framework which complements and utilises existing curricula. This new framework was applied to the GIScience programs at Curtin University in Perth, Australia which has surpassed 25 years of GIScience education. Some of the results of applying this framework are outlined and discussed.

  16. For the law, neuroscience changes nothing and everything.

    PubMed Central

    Greene, Joshua; Cohen, Jonathan

    2004-01-01

    The rapidly growing field of cognitive neuroscience holds the promise of explaining the operations of the mind in terms of the physical operations of the brain. Some suggest that our emerging understanding of the physical causes of human (mis)behaviour will have a transformative effect on the law. Others argue that new neuroscience will provide only new details and that existing legal doctrine can accommodate whatever new information neuroscience will provide. We argue that neuroscience will probably have a transformative effect on the law, despite the fact that existing legal doctrine can, in principle, accommodate whatever neuroscience will tell us. New neuroscience will change the law, not by undermining its current assumptions, but by transforming people's moral intuitions about free will and responsibility. This change in moral outlook will result not from the discovery of crucial new facts or clever new arguments, but from a new appreciation of old arguments, bolstered by vivid new illustrations provided by cognitive neuroscience. We foresee, and recommend, a shift away from punishment aimed at retribution in favour of a more progressive, consequentialist approach to the criminal law. PMID:15590618

  17. A Framework for Context Sensitive Risk-Based Access Control in Medical Information Systems.

    PubMed

    Choi, Donghee; Kim, Dohoon; Park, Seog

    2015-01-01

    Since the access control environment has changed and the threat of insider information leakage has come to the fore, studies on risk-based access control models that decide access permissions dynamically have been conducted vigorously. Medical information systems should protect sensitive data such as medical information from insider threat and enable dynamic access control depending on the context such as life-threatening emergencies. In this paper, we suggest an approach and framework for context sensitive risk-based access control suitable for medical information systems. This approach categorizes context information, estimating and applying risk through context- and treatment-based permission profiling and specifications by expanding the eXtensible Access Control Markup Language (XACML) to apply risk. The proposed framework supports quick responses to medical situations and prevents unnecessary insider data access through dynamic access authorization decisions in accordance with the severity of the context and treatment.

  18. The Neuroscience Peer Review Consortium

    PubMed Central

    Saper, Clifford B; Maunsell, John HR

    2009-01-01

    As the Neuroscience Peer Review Consortium (NPRC) ends its first year, it is worth looking back to see how the experiment has worked. In order to encourage dissemination of the details outlined in this Editorial, it will also be published in other journals in the Neuroscience Peer Review Consortium. PMID:19284614

  19. Cognitive Neuroscience Meets Mathematics Education

    ERIC Educational Resources Information Center

    De Smedt, Bert; Ansari, Daniel; Grabner, Roland H.; Hannula, Minna M.; Schneider, Michael; Verschaffel, Lieven

    2010-01-01

    While there has been much theoretical debate concerning the relationship between neuroscience and education, researchers have started to collaborate across both disciplines, giving rise to the interdisciplinary research field of neuroscience and education. The present contribution tries to reflect on the challenges of this new field of empirical…

  20. Gizmos and gadgets for the neuroscience intensive care unit.

    PubMed

    Bader, Mary Kay

    2006-08-01

    Managing the critical neuroscience patient population challenges practitioners because of both the devastating injury involved and the complexity of care required. Emerging technology provides the neuroscience intensive care unit team with better information on the intricate physiology and dynamics inside the cranium. In particular, the team is better able to detect changes in pressure, oxygen, and blood flow. With improved data in hand, the team can intervene to optimize intracranial dynamics, possibly reducing disability and death among such patients.

  1. The information cycle as a framework for defining information goals for water-quality monitoring

    SciTech Connect

    Timmerman, J.G.; Ottens, J.J.; Ward, R.C.

    2000-03-01

    The necessity to tailor information becomes increasingly urgent as the information revolution continues to generate every-increasing flows of data and so-called information. From European experiences, a new approach for monitoring system design is suggested in this paper. In this approach, careful and detailed specification of information needs is a major contributing factor to the effectiveness of information products. To develop better specifications for information products, the process of collecting and transforming data into useful information requires careful thought and guidance. A dialogue between information users on one hand and information producers on the other is essential. This dialogue can be based on the information cycle, describing the continuous process from specifying information needs for water management and a strategy to collect information through data collection and data analysis up to utilization of information by water management. By following the respective steps in the information cycle, the process of information gathering can be completed. The cyclic character provides a quantitative means of connecting monitoring system design and operations with the information expectations and/or products required by management.

  2. Information theory provides a comprehensive framework for the evaluation of protein structure predictions

    PubMed Central

    Swanson, Rosemarie; Vannucci, Marina; Tsai, Jerry W.

    2008-01-01

    Protein structure prediction has a number of important ad hoc similarity measures for evaluating predictions, but would benefit from a measure that is able to provide a common framework for a broad range of comparisons. Here we show that a mutual information-like measure can provide a comprehensive framework for evaluating protein structure prediction of all types. We discuss the concept of information, its application to secondary structure, and the obstacle to applying it to 3D structure. Based on insights from the secondary structure case, we present an approach to work around the 3D difficulties, and develop a method to measure the mutual information provided by a 3D structure prediction. We integrate the evaluation of all types of protein structure prediction into a single frame work, and compare the amount of information provided by various prediction methods, including secondary structure prediction. Within this broadened framework, the idea that structure is better preserved than sequence during evolution is evaluated quantitatively for the globin family. A nearly perfect sequence match in the globin family corresponds to about 300 bits of information, whereas a nearly perfect structural match for the same two proteins corresponds to about 2500 bits of information, where bits of information describes the probability of obtaining a match of similar closeness by chance. Mutual information provides both a theoretical basis for evaluating structure similarity and an explanatory surround for existing similarity measures. PMID:18704942

  3. Service Learning in Neuroscience Courses

    PubMed Central

    Mead, Kristina S.; Kennedy, Susan

    2012-01-01

    Incorporating service learning (SL) components can be a very powerful way to engage students, add relevance, and develop community-building skills. SL experiences can play important roles in neuroscience classes, although the roles can be different depending on the needs of the classes. In this paper, we will present two models of incorporating service learning into neuroscience courses. The first model gives an example of using SL in a non-majors course, and the second model gives an example of using SL in a neuroscience class for neuroscience concentrators. After describing the two sets of experiences, we summarize the positive aspects and the challenges involved in creating SL components in neuroscience courses, develop some keys to success, and then provide a list of additional resources. PMID:23493330

  4. NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF.

    PubMed

    Halavi, Maryam; Polavaram, Sridevi; Donohue, Duncan E; Hamilton, Gail; Hoyt, Jeffrey; Smith, Kenneth P; Ascoli, Giorgio A

    2008-09-01

    Neuronal morphology affects network connectivity, plasticity, and information processing. Uncovering the design principles and functional consequences of dendritic and axonal shape necessitates quantitative analysis and computational modeling of detailed experimental data. Digital reconstructions provide the required neuromorphological descriptions in a parsimonious, comprehensive, and reliable numerical format. NeuroMorpho.Org is the largest web-accessible repository service for digitally reconstructed neurons and one of the integrated resources in the Neuroscience Information Framework (NIF). Here we describe the NeuroMorpho.Org approach as an exemplary experience in designing, creating, populating, and curating a neuroscience digital resource. The simple three-tier architecture of NeuroMorpho.Org (web client, web server, and relational database) encompasses all necessary elements to support a large-scale, integrate-able repository. The data content, while heterogeneous in scientific scope and experimental origin, is unified in format and presentation by an in house standardization protocol. The server application (MRALD) is secure, customizable, and developer-friendly. Centralized processing and expert annotation yields a comprehensive set of metadata that enriches and complements the raw data. The thoroughly tested interface design allows for optimal and effective data search and retrieval. Availability of data in both original and standardized formats ensures compatibility with existing resources and fosters further tool development. Other key functions enable extensive exploration and discovery, including 3D and interactive visualization of branching, frequently measured morphometrics, and reciprocal links to the original PubMed publications. The integration of NeuroMorpho.Org with version-1 of the NIF (NIFv1) provides the opportunity to access morphological data in the context of other relevant resources and diverse subdomains of neuroscience, opening

  5. A Geographic Information System Framework for the Management of Sensor Deployments

    PubMed Central

    Russomanno, David J.; Tritenko, Yury

    2010-01-01

    A prototype Geographic Information System (GIS) framework has been developed to map, manage, and monitor sensors with respect to other geographic features, including land base and in-plant features. The GIS framework supports geographic placement and subsequent discovery, query, and tasking of sensors in a network-centric environment using Web services. The framework couples the GIS feature placement logic of sensors with an extensible ontology which captures the capabilities, properties, protocols, integrity constraints, and other parameters of interest for a large variety of sensor types. The approach is significant in that custom, GIS-based interfaces can be rapidly developed via the integration of sensors and sensor networks into applications without having detailed knowledge of the sensors’ underlying device drivers by leveraging service-oriented computing infrastructure within the GIS framework. PMID:22399881

  6. A Hierarchical Framework Combining Motion and Feature Information for Infrared-Visible Video Registration

    PubMed Central

    Sun, Xinglong; Xu, Tingfa; Zhang, Jizhou; Li, Xiangmin

    2017-01-01

    In this paper, we propose a novel hierarchical framework that combines motion and feature information to implement infrared-visible video registration on nearly planar scenes. In contrast to previous approaches, which involve the direct use of feature matching to find the global homography, the framework adds coarse registration based on the motion vectors of targets to estimate scale and rotation prior to matching. In precise registration based on keypoint matching, the scale and rotation are used in re-location to eliminate their impact on targets and keypoints. To strictly match the keypoints, first, we improve the quality of keypoint matching by using normalized location descriptors and descriptors generated by the histogram of edge orientation. Second, we remove most mismatches by counting the matching directions of correspondences. We tested our framework on a public dataset, where our proposed framework outperformed two recently-proposed state-of-the-art global registration methods in almost all tested videos. PMID:28212350

  7. [Philosophy within the context of neurosciences].

    PubMed

    Estany, Anna

    2013-03-16

    Based on the interrelation between science and philosophy, this article addresses the impact of neurosciences on the philosophical issues posed by today's society, especially those related with epistemology and the philosophy of science. To do so, the different approaches in the cognitive sciences are taken into account, with special attention paid to those that have to do with social, embodied and situated cognition versus a more individual, rational and abstract cognition. This initial framework is taken as the starting point with which to analyse the ways of representing knowledge and the characteristics of the cognoscente agent.

  8. Building Bridges between Neuroscience, Cognition and Education with Predictive Modeling

    ERIC Educational Resources Information Center

    Stringer, Steve; Tommerdahl, Jodi

    2015-01-01

    As the field of Mind, Brain, and Education seeks new ways to credibly bridge the gap between neuroscience, the cognitive sciences, and education, various connections are being developed and tested. This article presents a framework and offers examples of one approach, predictive modeling within a virtual educational system that can include…

  9. Semantic SenseLab: implementing the vision of the Semantic Web in neuroscience

    PubMed Central

    Samwald, Matthias; Chen, Huajun; Ruttenberg, Alan; Lim, Ernest; Marenco, Luis; Miller, Perry; Shepherd, Gordon; Cheung, Kei-Hoi

    2011-01-01

    Summary Objective Integrative neuroscience research needs a scalable informatics framework that enables semantic integration of diverse types of neuroscience data. This paper describes the use of the Web Ontology Language (OWL) and other Semantic Web technologies for the representation and integration of molecular-level data provided by several of SenseLab suite of neuroscience databases. Methods Based on the original database structure, we semi-automatically translated the databases into OWL ontologies with manual addition of semantic enrichment. The SenseLab ontologies are extensively linked to other biomedical Semantic Web resources, including the Subcellular Anatomy Ontology, Brain Architecture Management System, the Gene Ontology, BIRNLex and UniProt. The SenseLab ontologies have also been mapped to the Basic Formal Ontology and Relation Ontology, which helps ease interoperability with many other existing and future biomedical ontologies for the Semantic Web. In addition, approaches to representing contradictory research statements are described. The SenseLab ontologies are designed for use on the Semantic Web that enables their integration into a growing collection of biomedical information resources. Conclusion We demonstrate that our approach can yield significant potential benefits and that the Semantic Web is rapidly becoming mature enough to realize its anticipated promises. The ontologies are available online at http://neuroweb.med.yale.edu/senselab/ PMID:20006477

  10. PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems

    PubMed Central

    Aqil, Anwer; Lippeveld, Theo; Hozumi, Dairiku

    2009-01-01

    The utility and effectiveness of routine health information systems (RHIS) in improving health system performance in developing countries has been questioned. This paper argues that the health system needs internal mechanisms to develop performance targets, track progress, and create and manage knowledge for continuous improvement. Based on documented RHIS weaknesses, we have developed the Performance of Routine Information System Management (PRISM) framework, an innovative approach to design, strengthen and evaluate RHIS. The PRISM framework offers a paradigm shift by putting emphasis on RHIS performance and incorporating the organizational, technical and behavioural determinants of performance. By describing causal pathways of these determinants, the PRISM framework encourages and guides the development of interventions for strengthening or reforming RHIS. Furthermore, it conceptualizes and proposes a methodology for measuring the impact of RHIS on health system performance. Ultimately, the PRISM framework, in spite of its challenges and competing paradigms, proposes a new agenda for building and sustaining information systems, for the promotion of an information culture, and for encouraging accountability in health systems. PMID:19304786

  11. Learning and Individual Differences: An Ability/Information-Processing Framework for Skill Acquisition. Final Report.

    ERIC Educational Resources Information Center

    Ackerman, Phillip L.

    A program of theoretical and empirical research focusing on the ability determinants of individual differences in skill acquisition is reviewed. An integrative framework for information-processing and cognitive ability determinants of skills is reviewed, along with principles for ability-skill relations. Experimental manipulations were used to…

  12. Promoting Student Learning and Productive Persistence in Developmental Mathematics: Research Frameworks Informing the Carnegie Pathways

    ERIC Educational Resources Information Center

    Edwards, Ann R.; Beattie, Rachel L.

    2016-01-01

    This paper focuses on two research-based frameworks that inform the design of instruction and promote student success in accelerated, developmental mathematics pathways. These are Learning Opportunities--productive struggle on challenging and relevant tasks, deliberate practice, and explicit connections, and Productive Persistence--promoting…

  13. Lakatos' Scientific Research Programmes as a Framework for Analysing Informal Argumentation about Socio-Scientific Issues

    ERIC Educational Resources Information Center

    Chang, Shu-Nu; Chiu, Mei-Hung

    2008-01-01

    The purpose of this study is to explore how Lakatos' scientific research programmes might serve as a theoretical framework for representing and evaluating informal argumentation about socio-scientific issues. Seventy undergraduate science and non-science majors were asked to make written arguments about four socio-scientific issues. Our analysis…

  14. NLPIR: A Theoretical Framework for Applying Natural Language Processing to Information Retrieval.

    ERIC Educational Resources Information Center

    Zhou, Lina; Zhang, Dongsong

    2003-01-01

    Proposes a theoretical framework called NLPIR that integrates natural language processing (NLP) into information retrieval (IR) based on the assumption that there exists representation distance between queries and documents. Discusses problems in traditional keyword-based IR, including relevance, and describes some existing NLP techniques.…

  15. Medication information leaflets for patients: the further validation of an analytic linguistic framework.

    PubMed

    Clerehan, Rosemary; Hirsh, Di; Buchbinder, Rachelle

    2009-01-01

    While clinicians may routinely use patient information leaflets about drug therapy, a poorly conceived leaflet has the potential to do harm. We previously developed a novel approach to analysing leaflets about a rheumatoid arthritis drug, using an analytic approach based on systemic functional linguistics. The aim of the present study was to verify the validity of the linguistic framework by applying it to two further arthritis drug leaflets. The findings confirmed the applicability of the framework and were used to refine it. A new stage or 'move' in the genre was identified. While the function of many of the moves appeared to be 'to instruct' the patient, the instruction was often unclear. The role relationships expressed in the text were critical to the meaning. As with our previous study, judged on their lexical density, the leaflets resembled academic text. The framework can provide specific tools to assess and produce medication information leaflets to support readers in taking medication. Future work could utilize the framework to evaluate information on other treatments and procedures or on healthcare information more widely.

  16. This Is Really Happening: Criticality and Discussions of Context in ACRL's "Framework for Information Literacy"

    ERIC Educational Resources Information Center

    Seeber, Kevin P.

    2015-01-01

    The development of the ACRL "Framework for Information Literacy" has sparked an immense amount of conversation among academic librarians, though the profession is still far from consensus with regards to if, when, or how the document should be implemented. This essay argues that despite debates over various points within the text, the…

  17. MSA-PAD: DNA multiple sequence alignment framework based on PFAM accessed domain information.

    PubMed

    Balech, Bachir; Vicario, Saverio; Donvito, Giacinto; Monaco, Alfonso; Notarangelo, Pasquale; Pesole, Graziano

    2015-08-01

    Here we present the MSA-PAD application, a DNA multiple sequence alignment framework that uses PFAM protein domain information to align DNA sequences encoding either single or multiple protein domains. MSA-PAD has two alignment options: gene and genome mode.

  18. A Land Surface Data Assimilation Framework Using the Land Information System: Description and Application

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Land Information System (LIS) is a hydrologic modeling framework that integrates various community land surface models, ground and satellite-based observations, and high performance computing and data management tools to enable assessment and prediction of hydrologic conditions at various spatia...

  19. Technical advances power neuroscience

    SciTech Connect

    Barinaga, M.

    1991-01-01

    New techniques are helping researchers study the development of nerve cells in cell cultures and in vivo. These new methods are offering insights into the brain that were not available even a couple of years ago. Among the new advances discussed are imaging technology for evaluating the thinking human brain. One area in which researchers have made recent progress is the quest for ways to create immortal cell lines from specific types of nerve cells. Other projects using genetically engineered retroviruses and tumor-inducing genes, as well as gene regulation are discussed. Recent advances in neuroscience techniques apply not only to neurons, but also to whole brains as well. One example is a high-resulution electroencephalogram (EEG). Although the EEG cannot pin down the actual sites of activity as precisely as static brain imaging methods, it complements them with real-time recording that can keep up with the very rapid pace of brain activity.

  20. Neuroscience research on aging and implications for counseling psychology.

    PubMed

    Wright, Stephen L; Díaz, Fernando

    2014-10-01

    The advances in neuroscience have led to an increase in scientific understanding of the aging process, and counseling psychologists can benefit from familiarity with the research on the neuroscience of aging. In this article, we have focused on the cognitive neuroscience of aging, and we describe the progression of healthy aging to Alzheimer's disease, given its high prevalence rate among older adults (Alzheimer's Association, 2013). Common techniques used to study the cognitive neuroscience of aging are explained in regards to measuring age-related changes in the brain and the role of biomarkers in identifying cognitive decline related to Alzheimer's disease. Using this information and in collaboration with cognitive neuroscientists, it is our hope that counseling psychologists may further pursue research areas on aging as well as design appropriate interventions for older individuals who may be experiencing cognitive impairment.

  1. Community-based, Experiential Learning for Second Year Neuroscience Undergraduates

    PubMed Central

    Yu, Heather J.; Ramos-Goyette, Sharon; McCoy, John G.; Tirrell, Michael E.

    2013-01-01

    Service learning is becoming a keystone of the undergraduate learning experience. At Stonehill College, we implemented a service learning course, called a Learning Community, in Neuroscience. This course was created to complement the basic research available to Stonehill Neuroscience majors with experience in a more applied and “clinical” setting. The Neuroscience Learning Community is designed to promote a deep understanding of Neuroscience by combining traditional classroom instruction with clinical perspectives and real-life experiences. This Neuroscience Learning Community helps students translate abstract concepts within the context of neurodevelopment by providing students with contextual experience in a real-life, unscripted setting. The experiential learning outside of the classroom enabled students to participate in informed discussions in the classroom, especially with regard to neurodevelopmental disorders. We believe that all students taking this course gain an understanding of the importance of basic and applied Neuroscience as it relates to the individual and the community. Students also have used this concrete, learning-by-doing experience to make informed decisions about career paths and choice of major. PMID:24319392

  2. Community-based, Experiential Learning for Second Year Neuroscience Undergraduates.

    PubMed

    Yu, Heather J; Ramos-Goyette, Sharon; McCoy, John G; Tirrell, Michael E

    2013-01-01

    Service learning is becoming a keystone of the undergraduate learning experience. At Stonehill College, we implemented a service learning course, called a Learning Community, in Neuroscience. This course was created to complement the basic research available to Stonehill Neuroscience majors with experience in a more applied and "clinical" setting. The Neuroscience Learning Community is designed to promote a deep understanding of Neuroscience by combining traditional classroom instruction with clinical perspectives and real-life experiences. This Neuroscience Learning Community helps students translate abstract concepts within the context of neurodevelopment by providing students with contextual experience in a real-life, unscripted setting. The experiential learning outside of the classroom enabled students to participate in informed discussions in the classroom, especially with regard to neurodevelopmental disorders. We believe that all students taking this course gain an understanding of the importance of basic and applied Neuroscience as it relates to the individual and the community. Students also have used this concrete, learning-by-doing experience to make informed decisions about career paths and choice of major.

  3. A Unified Framework for Periodic, On-Demand, and User-Specified Software Information

    NASA Technical Reports Server (NTRS)

    Kolano, Paul Z.

    2004-01-01

    Although grid computing can increase the number of resources available to a user; not all resources on the grid may have a software environment suitable for running a given application. To provide users with the necessary assistance for selecting resources with compatible software environments and/or for automatically establishing such environments, it is necessary to have an accurate source of information about the software installed across the grid. This paper presents a new OGSI-compliant software information service that has been implemented as part of NASA's Information Power Grid project. This service is built on top of a general framework for reconciling information from periodic, on-demand, and user-specified sources. Information is retrieved using standard XPath queries over a single unified namespace independent of the information's source. Two consumers of the provided software information, the IPG Resource Broker and the IPG Neutralization Service, are briefly described.

  4. Positional Information, Positional Error, and Readout Precision in Morphogenesis: A Mathematical Framework

    PubMed Central

    Tkačik, Gašper; Dubuis, Julien O.; Petkova, Mariela D.; Gregor, Thomas

    2015-01-01

    The concept of positional information is central to our understanding of how cells determine their location in a multicellular structure and thereby their developmental fates. Nevertheless, positional information has neither been defined mathematically nor quantified in a principled way. Here we provide an information-theoretic definition in the context of developmental gene expression patterns and examine the features of expression patterns that affect positional information quantitatively. We connect positional information with the concept of positional error and develop tools to directly measure information and error from experimental data. We illustrate our framework for the case of gap gene expression patterns in the early Drosophila embryo and show how information that is distributed among only four genes is sufficient to determine developmental fates with nearly single-cell resolution. Our approach can be generalized to a variety of different model systems; procedures and examples are discussed in detail. PMID:25361898

  5. Contemporary neuroscience in the media.

    PubMed

    Racine, Eric; Waldman, Sarah; Rosenberg, Jarett; Illes, Judy

    2010-08-01

    Technological innovations in neuroscience have opened new windows to the understanding of brain function and the neuronal underpinnings of brain activity in neuropsychiatric disorders and social behavior. Public interest and support for neuroscience research through initiatives like the Decade of the Brain project and increasingly diverse brain-related initiatives have created new interfaces between neuroscience and society. Against this backdrop of dynamic innovation, we set out to examine how different features of neuroscience are depicted in print media. We used the 'guided news' function of the LexisNexis Academic database with keyword searches to find news articles published between 1995 and 2004 in major U.S. and U.K. English-language news sources. We performed searches on headlines, lead paragraphs, and body terms to maximize search yields. All articles were coded for overall tone of coverage, details on reported studies, presence of ethical, legal, and social discussion as well as the emerging interpretations of neuroscience - in the form of neuro-essentialism, neuro-realism, and neuro-policy. We found that print media coverage of the use of neurotechnology for diagnosis or therapy in neuropsychiatric disorders was generally optimistic. We also found that, even within articles that were identified as research reports, many did not provide details about research studies. We also gained additional insights into the previously identified phenomena of neuro-essentialism, neuro-realism, and neuro-policy showing some profound impacts of neuroscience on personal identity and policy-making. Our results highlight the implications of transfer of neuroscience knowledge to society given the substantial and authoritative weight ascribed to neuroscience knowledge in defining who we are. We also discuss the impact of these findings on neuroscience and on the respective contributions of the social sciences and the biological sciences in contemporary psychiatry and mental

  6. A review of the current nomenclature for psychotropic agents and an introduction to the Neuroscience-based Nomenclature.

    PubMed

    Zohar, Joseph; Stahl, Stephen; Moller, Hans-Jurgen; Blier, Pierre; Kupfer, David; Yamawaki, Shigeto; Uchida, Hiroyuki; Spedding, Michael; Goodwin, Guy M; Nutt, David

    2015-12-01

    Neuroscience based Nomenclature (NbN) is a new system of classifying psychotropic drugs by their pharmacological profile. The NbN was developed to replace the current indication-based nomenclature and to provide an up-to-date and more useful framework to better inform pharmacological decisions. NbN provides updated relevant and specific scientific, regulatory and clinical information, aiming to support rational and lucid prescribing. This pharmacologically driven nomenclature, which highlights pharmacological domains and modes of action, may also increase drug adherence as it clarifies the rationale for selecting a specific psychotropic agent.

  7. Characterizing the Leaching Behavior of Coal Combustion Residues using the Leaching Environmental Assessment Framework (LEAF) to Inform Future Management Decisions

    EPA Science Inventory

    Abstract for presentation on Characterizing the Leaching Behavior of Coal Combustion Residues using the Leaching Environmental Assessment Framework (LEAF) to Inform Future Management Decisions. The abstract is attached.

  8. A translational neuroscience perspective on mindfulness meditation as a prevention strategy.

    PubMed

    Tang, Yi-Yuan; Leve, Leslie D

    2016-03-01

    Mindfulness meditation research mainly focuses on psychological outcomes such as behavioral, cognitive, and emotional functioning. However, the neuroscience literature on mindfulness meditation has grown in recent years. This paper provides an overview of relevant neuroscience and psychological research on the effects of mindfulness meditation. We propose a translational prevention framework of mindfulness and its effects. Drawing upon the principles of prevention science, this framework integrates neuroscience and prevention research and postulates underlying brain regulatory mechanisms that explain the impact of mindfulness on psychological outcomes via self-regulation mechanisms linked to underlying brain systems. We conclude by discussing potential clinical and practice implications of this model and directions for future research.

  9. "Writing in neuroscience": a course designed for neuroscience undergraduate students.

    PubMed

    Adams, Joyce

    2011-01-01

    Although neuroscience students may learn to write in a generic fashion through university writing courses, they receive little training in writing in their field. Here I describe a course that was created at the request of a Neuroscience Department with the intent to teach neuroscience students how to write well in their discipline. I explain the purpose for creating the "Writing in Neuroscience" course and offer a brief overview of the course curriculum, including pertinent pedagogical outcomes for such a course. I describe in depth the major assignment for the course, the literature review, and provide examples of paper titles that students wrote to fulfill the assignment. I briefly describe other relevant course assignments. I evaluate the course and include an overview of who should teach such a course, what support might be helpful, and what can be learned from formative assessment of the course. Using these insights can help others determine whether such a course is a good fit for them.

  10. Optogenetics enlightens neuroscience drug discovery.

    PubMed

    Song, Chenchen; Knöpfel, Thomas

    2016-02-01

    Optogenetics - the use of light and genetics to manipulate and monitor the activities of defined cell populations - has already had a transformative impact on basic neuroscience research. Now, the conceptual and methodological advances associated with optogenetic approaches are providing fresh momentum to neuroscience drug discovery, particularly in areas that are stalled on the concept of 'fixing the brain chemistry'. Optogenetics is beginning to translate and transit into drug discovery in several key domains, including target discovery, high-throughput screening and novel therapeutic approaches to disease states. Here, we discuss the exciting potential of optogenetic technologies to transform neuroscience drug discovery.

  11. Sensory neural pathways revisited to unravel the temporal dynamics of the Simon effect: A model-based cognitive neuroscience approach.

    PubMed

    Salzer, Yael; de Hollander, Gilles; Forstmann, Birte U

    2017-02-24

    The Simon task is one of the most prominent interference tasks and has been extensively studied in experimental psychology and cognitive neuroscience. Despite years of research, the underlying mechanism driving the phenomenon and its temporal dynamics are still disputed. Within the framework of the review, we adopt a model-based cognitive neuroscience approach. We first go over key findings in the literature of the Simon task, discuss competing qualitative cognitive theories and the difficulty of testing them empirically. We then introduce sequential sampling models, a particular class of mathematical cognitive process models. Finally, we argue that the brain architecture accountable for the processing of spatial ('where') and non-spatial ('what') information, could constrain these models. We conclude that there is a clear need to bridge neural and behavioral measures, and that mathematical cognitive models may facilitate the construction of this bridge and work towards revealing the underlying mechanisms of the Simon effect.

  12. What Can Neuroscience Bring to Education?

    ERIC Educational Resources Information Center

    Ferrari, Michel

    2011-01-01

    Educational neuroscience promises to incorporate emerging insights from neuroscience into education, and is an exiting renovation of cognitive science in education. But unlike cognitive neuroscience--which aims to explain how the mind is embodied--educational neuroscience necessarily incorporates values that reflect the kind of citizen and the…

  13. Theories for practitioners: two frameworks for studying consumer health information-seeking behavior.

    PubMed Central

    Baker, L M; Pettigrew, K E

    1999-01-01

    Consumer health information studies in library and information science (LIS) are typically not grounded within a theoretical framework. This article explains the importance of theory to LIS research in general, and the specific value of using theories from other disciplines to study consumers' health information-seeking behavior. The argument is supported with two examples: Miller's psychological theory of blunting and monitoring behavior and Granovetter's sociological theory of the strength of weak ties. These theories can be applied by practitioner-researchers to investigate a variety of research problems. PMID:10550029

  14. Theories for practitioners: two frameworks for studying consumer health information-seeking behavior.

    PubMed

    Baker, L M; Pettigrew, K E

    1999-10-01

    Consumer health information studies in library and information science (LIS) are typically not grounded within a theoretical framework. This article explains the importance of theory to LIS research in general, and the specific value of using theories from other disciplines to study consumers' health information-seeking behavior. The argument is supported with two examples: Miller's psychological theory of blunting and monitoring behavior and Granovetter's sociological theory of the strength of weak ties. These theories can be applied by practitioner-researchers to investigate a variety of research problems.

  15. A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein Interactions.

    PubMed

    Birlutiu, Adriana; d'Alché-Buc, Florence; Heskes, Tom

    2015-01-01

    Computational methods for predicting protein-protein interactions are important tools that can complement high-throughput technologies and guide biologists in designing new laboratory experiments. The proteins and the interactions between them can be described by a network which is characterized by several topological properties. Information about proteins and interactions between them, in combination with knowledge about topological properties of the network, can be used for developing computational methods that can accurately predict unknown protein-protein interactions. This paper presents a supervised learning framework based on Bayesian inference for combining two types of information: i) network topology information, and ii) information related to proteins and the interactions between them. The motivation of our model is that by combining these two types of information one can achieve a better accuracy in predicting protein-protein interactions, than by using models constructed from these two types of information independently.

  16. Building Neural Networks Within the Academy: Connecting Neuroscience to Other Disciplines

    PubMed Central

    Wichlinski, Lawrence J.

    2009-01-01

    Never before in human history has there been a more exciting time to be studying neuroscience. By extension, the opportunities have never been greater to examine how contemporary findings in neuroscience might relate to other areas of human inquiry. Over the last two decades I have participated in a number of formal and informal attempts to connect neuroscience and psychology to other academic disciplines in the context of interdisciplinary courses. Herein lies a brief overview of my experiences with these undertakings. PMID:23493585

  17. Development of an Applied Framework for Understanding Health Information Technology in Nursing Homes.

    PubMed

    Degenholtz, Howard B; Resnick, Abby; Lin, Michael; Handler, Steven

    2016-05-01

    There is growing evidence that Health Information Technology (HIT) can play a role in improving quality of care and increasing efficiency in the nursing home setting. Most research in this area, however, has examined whether nursing homes have or use any of a list of available technologies. We sought to develop an empirical framework for understanding the intersection between specific uses of HIT and clinical care processes. Using the nominal group technique, we conducted a series of focus groups with different types of personnel who work in nursing homes (administrators, directors of nursing, physicians, mid-level practitioners, consultant pharmacists, and aides). The resulting framework identified key domain areas that can benefit from HIT: transfer of data, regulatory compliance, quality improvement, structured clinical documentation, medication use process, and communication. The framework can be used to guide both descriptive and normative research.

  18. The unsolved problems of neuroscience

    PubMed Central

    Adolphs, Ralph

    2015-01-01

    Some problems in neuroscience are nearly solved. For others, solutions are decades away. The current pace of advances in methods forces us to take stock, to ask where we are going, and what we should research next. PMID:25703689

  19. Towards a cross-domain interoperable framework for natural hazards and disaster risk reduction information

    NASA Astrophysics Data System (ADS)

    Tomas, Robert; Harrison, Matthew; Barredo, José I.; Thomas, Florian; Llorente Isidro, Miguel; Cerba, Otakar; Pfeiffer, Manuela

    2014-05-01

    The vast amount of information and data necessary for comprehensive hazard and risk assessment presents many challenges regarding the lack of accessibility, comparability, quality, organisation and dissemination of natural hazards spatial data. In order to mitigate these limitations an interoperable framework has been developed in the framework of the development of legally binding Implementing rules of the EU INSPIRE Directive1* aiming at the establishment of the European Spatial Data Infrastructure. The interoperability framework is described in the Data Specification on Natural risk zones - Technical Guidelines (DS) document2* that was finalized and published on 10.12. 2013. This framework provides means for facilitating access, integration, harmonisation and dissemination of natural hazard data from different domains and sources. The objective of this paper is twofold. Firstly, the paper demonstrates the applicability of the interoperable framework developed in the DS and highlights the key aspects of the interoperability to the various natural hazards communities. Secondly, the paper "translates" into common language the main features and potentiality of the interoperable framework of the DS for a wider audience of scientists and practitioners in the natural hazards domain. Further in this paper the main five aspects of the interoperable framework will be presented. First, the issue of a common terminology for the natural hazards domain will be addressed. A common data model to facilitate cross domain data integration will follow secondly. Thirdly, the common methodology developed to provide qualitative or quantitative assessments of natural hazards will be presented. Fourthly, the extensible classification schema for natural hazards developed from a literature review and key reference documents from the contributing community of practice will be shown. Finally, the applicability of the interoperable framework for the various stakeholder groups will be also

  20. Alternatives Assessment Frameworks: Research Needs for the Informed Substitution of Hazardous Chemicals

    PubMed Central

    Jacobs, Molly M.; Malloy, Timothy F.; Tickner, Joel A.; Edwards, Sally

    2015-01-01

    Background Given increasing pressures for hazardous chemical replacement, there is growing interest in alternatives assessment to avoid substituting a toxic chemical with another of equal or greater concern. Alternatives assessment is a process for identifying, comparing, and selecting safer alternatives to chemicals of concern (including those used in materials, processes, or technologies) on the basis of their hazards, performance, and economic viability. Objectives The purposes of this substantive review of alternatives assessment frameworks are to identify consistencies and differences in methods and to outline needs for research and collaboration to advance science policy practice. Methods This review compares methods used in six core components of these frameworks: hazard assessment, exposure characterization, life-cycle impacts, technical feasibility evaluation, economic feasibility assessment, and decision making. Alternatives assessment frameworks published from 1990 to 2014 were included. Results Twenty frameworks were reviewed. The frameworks were consistent in terms of general process steps, but some differences were identified in the end points addressed. Methodological gaps were identified in the exposure characterization, life-cycle assessment, and decision–analysis components. Methods for addressing data gaps remain an issue. Discussion Greater consistency in methods and evaluation metrics is needed but with sufficient flexibility to allow the process to be adapted to different decision contexts. Conclusion Although alternatives assessment is becoming an important science policy field, there is a need for increased cross-disciplinary collaboration to refine methodologies in support of the informed substitution and design of safer chemicals, materials, and products. Case studies can provide concrete lessons to improve alternatives assessment. Citation Jacobs MM, Malloy TF, Tickner JA, Edwards S. 2016. Alternatives assessment frameworks: research

  1. A framework for systematic evaluation of health information infrastructure progress in communities.

    PubMed

    Labkoff, Steven E; Yasnoff, William A

    2007-04-01

    It is widely agreed that major improvements in the safety, quality, and efficiency of health care in the US require a National Health Information Infrastructure. To accomplish this, efforts are now underway in many communities to build local or regional health information infrastructures (HIIs) that provide secure, ubiquitous access to complete health care information. To facilitate the assessment and monitoring of the progress of operational HIIs toward completion, we propose a framework of four key measures of requirements that must be ultimately be met: (1) completeness of information, (2) degree of usage, (3) types of usage, and (4) financial sustainability. To evaluate the framework, it was used by the authors to qualitatively assess HII projects in cooperation with four leading communities, resulting in ratings of 78% for Bellingham, WA, 63% for Indianapolis, IN, 60% for South Bend, IN, and 74% for Spokane, WA. Qualitative assessment of community HII systems may be helpful in monitoring progress, comparing projects, and understanding the remaining tasks needed for completion. Additional testing and refinement of the proposed framework is needed to further understand and improve HII progress measurement capabilities.

  2. [Neurosciences and philosophy of mind].

    PubMed

    Saal, Aarón

    2005-01-01

    In this paper we argue that the interaction between neurosciences and philosophy of the mind is on the way to understand consciousness, and to solve the mind-body or mind-brain problem. Naturalism is the view that mental processes are just brain processes and that consciousness is a natural phenomenon. It is possible to construct a theory about its nature by blending insights from neuroscience, philosophy of the mind, phenomenology, psychology and evolutionary biology.

  3. Mechanisms, determination and the metaphysics of neuroscience.

    PubMed

    Soom, Patrice

    2012-09-01

    In this paper, I evaluate recently defended mechanistic accounts of the unity of neuroscience from a metaphysical point of view. Considering the mechanistic framework in general (Sections 2 and 3), I argue that explanations of this kind are essentially reductive (Section 4). The reductive character of mechanistic explanations provides a sufficiency criterion, according to which the mechanism underlying a certain phenomenon is sufficient for the latter. Thus, the concept of supervenience can be used in order to describe the relation between mechanisms and phenomena (Section 5). Against this background, I show that the mechanistic framework is subject to the causal exclusion problem and faces the classical metaphysical options when it comes to the relations obtaining between different levels of mechanisms (Section 6). Finally, an attempt to improve the metaphysics of mechanisms is made (Section 7) and further difficulties are pointed out (Section 8).

  4. Development of a preliminary framework for informing the risk analysis and risk management of nanoparticles.

    PubMed

    Morgan, Kara

    2005-12-01

    Decisions are often made even when there is uncertainty about the possible outcomes. However, methods for making decisions with uncertainty in the problem framework are scarce. Presently, safety assessment for a product containing engineered nano-scale particles is a very poorly structured problem. Many fields of study may inform the safety assessment of such particles (e.g., ultrafines, aerosols, debris from medical devices), but engineered nano-scale particles may present such unique properties that extrapolating from other types of studies may introduce, and not resolve, uncertainty. Some screening-level health effects studies conducted specifically on engineered nano-scale materials have been published and many more are underway. However, it is clear that the extent of research needed to fully and confidently understand the potential for health or environmental risk from engineered nano-scale particles may take years or even decades to complete. In spite of the great uncertainty, there is existing research and experience among researchers that can help to provide a taxonomy of particle properties, perhaps indicating a relative likelihood of risk, in order to prioritize nanoparticle risk research. To help structure this problem, a framework was developed from expert interviews of nanotechnology researchers. The analysis organizes the information as a system based on the risk assessment framework, in order to support the decision about safety. In the long term, this framework is designed to incorporate research results as they are generated, and therefore serve as a tool for estimating the potential for human health and environmental risk.

  5. Evaluation of the Performance of Routine Information System Management (PRISM) framework: evidence from Uganda

    PubMed Central

    2010-01-01

    Background Sound policy, resource allocation and day-to-day management decisions in the health sector require timely information from routine health information systems (RHIS). In most low- and middle-income countries, the RHIS is viewed as being inadequate in providing quality data and continuous information that can be used to help improve health system performance. In addition, there is limited evidence on the effectiveness of RHIS strengthening interventions in improving data quality and use. The purpose of this study is to evaluate the usefulness of the newly developed Performance of Routine Information System Management (PRISM) framework, which consists of a conceptual framework and associated data collection and analysis tools to assess, design, strengthen and evaluate RHIS. The specific objectives of the study are: a) to assess the reliability and validity of the PRISM instruments and b) to assess the validity of the PRISM conceptual framework. Methods Facility- and worker-level data were collected from 110 health care facilities in twelve districts in Uganda in 2004 and 2007 using records reviews, structured interviews and self-administered questionnaires. The analysis procedures include Cronbach's alpha to assess internal consistency of selected instruments, test-retest analysis to assess the reliability and sensitivity of the instruments, and bivariate and multivariate statistical techniques to assess validity of the PRISM instruments and conceptual framework. Results Cronbach's alpha analysis suggests high reliability (0.7 or greater) for the indices measuring a promotion of a culture of information, RHIS tasks self-efficacy and motivation. The study results also suggest that a promotion of a culture of information influences RHIS tasks self-efficacy, RHIS tasks competence and motivation, and that self-efficacy and the presence of RHIS staff have a direct influence on the use of RHIS information, a key aspect of RHIS performance. Conclusions The study

  6. Ensuring HL7-based information model requirements within an ontology framework.

    PubMed

    Ouagne, David; Nadah, Nadia; Schober, Daniel; Choquet, Rémy; Teodoro, Douglas; Colaert, Dirk; Schulz, Stefan; Jaulent, Marie-Christine; Daniel, Christel

    2010-01-01

    This paper describes the building of an HL7-based Information Model Ontology (IMO) that can be exploited by a domain ontology in order to distribute querying over different clinical data repositories. We employed the Open Medical Development Framework (OMDF) based on a model driven development methodology. OMDF provides model transformation features to build an HL7-based information model that covers the conceptual scope of a target project. The resulting IMO is used to mediate between ontologically queries and information retrieval from semantically less defined Hospital Information Systems (HIS). In the context of the DebugIT project - which scope corresponds to the control of infectious diseases and antimicrobial resistances - Information Model Ontology is integrated to the DebugIT domain ontology in order to express queries.

  7. Nanotechnology, nanotoxicology, and neuroscience.

    PubMed

    Suh, Won Hyuk; Suslick, Kenneth S; Stucky, Galen D; Suh, Yoo-Hun

    2009-02-01

    Nanotechnology, which deals with features as small as a 1 billionth of a meter, began to enter into mainstream physical sciences and engineering some 20 years ago. Recent applications of nanoscience include the use of nanoscale materials in electronics, catalysis, and biomedical research. Among these applications, strong interest has been shown to biological processes such as blood coagulation control and multimodal bioimaging, which has brought about a new and exciting research field called nanobiotechnology. Biotechnology, which itself also dates back approximately 30 years, involves the manipulation of macroscopic biological systems such as cells and mice in order to understand why and how molecular level mechanisms affect specific biological functions, e.g., the role of APP (amyloid precursor protein) in Alzheimer's disease (AD). This review aims (1) to introduce key concepts and materials from nanotechnology to a non-physical sciences community; (2) to introduce several state-of-the-art examples of current nanotechnology that were either constructed for use in biological systems or that can, in time, be utilized for biomedical research; (3) to provide recent excerpts in nanotoxicology and multifunctional nanoparticle systems (MFNPSs); and (4) to propose areas in neuroscience that may benefit from research at the interface of neurobiologically important systems and nanostructured materials.

  8. Opera and neuroscience.

    PubMed

    Lorusso, Lorenzo; Franchini, Antonia Francesca; Porro, Alessandro

    2015-01-01

    Opera is the most complete form of theatrical representation, characterized by musical accompaniment, both instrumental and vocal. It has played an important role in sociocultural spheres, affecting the various social strata and reflecting customs and ideas in different centuries. Composers have created pieces that have also shown the development of medicine. Since the birth of opera in seventeenth century in Italy, neuroscience has played an important role in influencing the representation of madness and neurological aspects. From the Folly of the Renaissance, a path toward a representation of madness was developed, initially linked to the myths of classical antiquity. In the seventeenth and eighteenth centuries, madness was represented as comical or funny, of a loving nature and influenced by the spread of the Commedia dell'Arte (Comedy of Art). In the nineteenth century, with the rise of the first scientific theories of the mind, insanity took more precise connotations and was separated from other psychiatric and neurological diseases. The operas of the twentieth century depicted psychiatric and neurological diseases, taking into account newer medical and scientific discoveries.

  9. Nanotechnology, nanotoxicology, and neuroscience

    PubMed Central

    Suh, Won Hyuk; Suslick, Kenneth S.; Stucky, Galen D.; Suh, Yoo-Hun

    2009-01-01

    Nanotechnology, which deals with features as small as a 1 billionth of a meter, began to enter into mainstream physical sciences and engineering some 20 years ago. Recent applications of nanoscience include the use of nanoscale materials in electronics, catalysis, and biomedical research. Among these applications, strong interest has been shown to biological processes such as blood coagulation control and multimodal bioimaging, which has brought about a new and exciting research field called nanobiotechnology. Biotechnology, which itself also dates back ∼30 years, involves the manipulation of macroscopic biological systems such as cells and mice in order to understand why and how molecular level mechanisms affect specific biological functions, e.g., the role of APP (amyloid precursor protein) in Alzheimer’s disease (AD). This review aims (1) to introduce key concepts and materials from nanotechnology to a non-physical sciences community; (2) to introduce several state-of-the-art examples of current nanotechnology that were either constructed for use in biological systems or that can, in time, be utilized for biomedical research; (3) to provide recent excerpts in nanotoxicology and multifunctional nanoparticle systems (MFNPSs); and (4) to propose areas in neuroscience that may benefit from research at the interface of neurobiologically important systems and nanostructured materials. PMID:18926873

  10. Neuroscience of meditation.

    PubMed

    Deshmukh, Vinod D

    2006-11-16

    Dhyana-Yoga is a Sanskrit word for the ancient discipline of meditation, as a means to Samadhi or enlightenment. Samadhi is a self-absorptive, adaptive state with realization of one's being in harmony with reality. It is unitive, undifferentiated, reality-consciousness, an essential being, which can only be experienced by spontaneous intuition and self-understanding. Modern neuroscience can help us to better understand Dhyana-Yoga. This article discusses topics including brain-mind-reality, consciousness, attention, emotional intelligence, sense of self, meditative mind, and meditative brain. A new hypothesis is proposed for a better understanding of the meditative mind. Meditation is an art of being serene and alert in the present moment, instead of constantly struggling to change or to become. It is an art of efficient management of attentional energy with total engagement (poornata, presence, mindfulness) or disengagement (shunyata, silence, emptiness). In both states, there is an experience of spontaneous unity with no sense of situational interactive self or personal time. It is a simultaneous, participatory consciousness rather than a dualistic, sequential attentiveness. There is a natural sense of well being with self-understanding, spontaneous joy, serenity, freedom, and self-fulfillment. It is where the ultimate pursuit of happiness and the search for meaning of life resolve. One realizes the truth of one's harmonious being in nature and nature in oneself. It is being alive at its fullest, when each conscious moment becomes a dynamic process of discovery and continuous learning of the ever-new unfolding reality.

  11. Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging.

    PubMed

    Zamroziewicz, Marta K; Barbey, Aron K

    2016-01-01

    Nutritional cognitive neuroscience is an emerging interdisciplinary field of research that seeks to understand nutrition's impact on cognition and brain health across the life span. Research in this burgeoning field demonstrates that many aspects of nutrition-from entire diets to specific nutrients-affect brain structure and function, and therefore have profound implications for understanding the nature of healthy brain aging. The aim of this Focused Review is to examine recent advances in nutritional cognitive neuroscience, with an emphasis on methods that enable discovery of nutrient biomarkers that predict healthy brain aging. We propose an integrative framework that calls for the synthesis of research in nutritional epidemiology and cognitive neuroscience, incorporating: (i) methods for the precise characterization of nutritional health based on the analysis of nutrient biomarker patterns (NBPs), along with (ii) modern indices of brain health derived from high-resolution magnetic resonance imaging (MRI). By integrating cutting-edge techniques from nutritional epidemiology and cognitive neuroscience, nutritional cognitive neuroscience will continue to advance our understanding of the beneficial effects of nutrition on the aging brain and establish effective nutritional interventions to promote healthy brain aging.

  12. Nutritional Cognitive Neuroscience: Innovations for Healthy Brain Aging

    PubMed Central

    Zamroziewicz, Marta K.; Barbey, Aron K.

    2016-01-01

    Nutritional cognitive neuroscience is an emerging interdisciplinary field of research that seeks to understand nutrition's impact on cognition and brain health across the life span. Research in this burgeoning field demonstrates that many aspects of nutrition—from entire diets to specific nutrients—affect brain structure and function, and therefore have profound implications for understanding the nature of healthy brain aging. The aim of this Focused Review is to examine recent advances in nutritional cognitive neuroscience, with an emphasis on methods that enable discovery of nutrient biomarkers that predict healthy brain aging. We propose an integrative framework that calls for the synthesis of research in nutritional epidemiology and cognitive neuroscience, incorporating: (i) methods for the precise characterization of nutritional health based on the analysis of nutrient biomarker patterns (NBPs), along with (ii) modern indices of brain health derived from high-resolution magnetic resonance imaging (MRI). By integrating cutting-edge techniques from nutritional epidemiology and cognitive neuroscience, nutritional cognitive neuroscience will continue to advance our understanding of the beneficial effects of nutrition on the aging brain and establish effective nutritional interventions to promote healthy brain aging. PMID:27375409

  13. An Evolutionary Game-Theoretic Framework for Cyber-threat Information Sharing

    DTIC Science & Technology

    2014-09-09

    Cyberattack on JP Morgan Chase & Co. [3] reportedly compromised the accounts of 76 million households and 7 million small businesses. Disclosure of this...An Evolutionary Game-Theoretic Framework for Cyber- threat Information Sharing Deepak Tosh, Shamik Sengupta Dept of Computer Science and Engineering...attacks. Isolated research on cybersecurity threat analysis and indi- vidually developed anti- threat strategies may not be a cost- effective way to

  14. A KPI framework for process-based benchmarking of hospital information systems.

    PubMed

    Jahn, Franziska; Winter, Alfred

    2011-01-01

    Benchmarking is a major topic for monitoring, directing and elucidating the performance of hospital information systems (HIS). Current approaches neglect the outcome of the processes that are supported by the HIS and their contribution to the hospital's strategic goals. We suggest to benchmark HIS based on clinical documentation processes and their outcome. A framework consisting of a general process model and outcome criteria for clinical documentation processes is introduced.

  15. Developing a Framework for Conducting Economic Evaluations of Community-Based Health Information Technology Interventions

    PubMed Central

    Eisenstein, Eric L.; Anstrom, Kevin J.; Macri, Jennifer M.; Crosslin, David R.; Johnson, Frederick S.; Kawamoto, Kensaku; Lobach, David F.

    2005-01-01

    This study describes a framework for conducting economic analyses for health information technology (HIT) interventions, in the context of three interventions that are currently being implemented in a community-based health network caring for 17,779 Medicaid beneficiaries in Durham County, North Carolina. We show that if the HIT interventions were to redirect only 10% of low-severity emergency room encounters to outpatient care, it will result in $12,523 of monthly savings. PMID:16779235

  16. Neuroscience Investigations: An Overview of Studies Conducted

    NASA Technical Reports Server (NTRS)

    Reschke, Millard F.

    1999-01-01

    The neural processes that mediate human spatial orientation and adaptive changes occurring in response to the sensory rearrangement encountered during orbital flight are primarily studied through second and third order responses. In the Extended Duration Orbiter Medical Project (EDOMP) neuroscience investigations, the following were measured: (1) eye movements during acquisition of either static or moving visual targets, (2) postural and locomotor responses provoked by unexpected movement of the support surface, changes in the interaction of visual, proprioceptive, and vestibular information, changes in the major postural muscles via descending pathways, or changes in locomotor pathways, and (3) verbal reports of perceived self-orientation and self-motion which enhance and complement conclusions drawn from the analysis of oculomotor, postural, and locomotor responses. In spaceflight operations, spatial orientation can be defined as situational awareness, where crew member perception of attitude, position, or motion of the spacecraft or other objects in three-dimensional space, including orientation of one's own body, is congruent with actual physical events. Perception of spatial orientation is determined by integrating information from several sensory modalities. This involves higher levels of processing within the central nervous system that control eye movements, locomotion, and stable posture. Spaceflight operational problems occur when responses to the incorrectly perceived spatial orientation are compensatory in nature. Neuroscience investigations were conducted in conjunction with U. S. Space Shuttle flights to evaluate possible changes in the ability of an astronaut to land the Shuttle or effectively perform an emergency post-landing egress following microgravity adaptation during space flights of variable length. While the results of various sensory motor and spatial orientation tests could have an impact on future space flights, our knowledge of

  17. Information Content-Based Gene Ontology Semantic Similarity Approaches: Toward a Unified Framework Theory

    PubMed Central

    Mazandu, Gaston K.; Mulder, Nicola J.

    2013-01-01

    Several approaches have been proposed for computing term information content (IC) and semantic similarity scores within the gene ontology (GO) directed acyclic graph (DAG). These approaches contributed to improving protein analyses at the functional level. Considering the recent proliferation of these approaches, a unified theory in a well-defined mathematical framework is necessary in order to provide a theoretical basis for validating these approaches. We review the existing IC-based ontological similarity approaches developed in the context of biomedical and bioinformatics fields to propose a general framework and unified description of all these measures. We have conducted an experimental evaluation to assess the impact of IC approaches, different normalization models, and correction factors on the performance of a functional similarity metric. Results reveal that considering only parents or only children of terms when assessing information content or semantic similarity scores negatively impacts the approach under consideration. This study produces a unified framework for current and future GO semantic similarity measures and provides theoretical basics for comparing different approaches. The experimental evaluation of different approaches based on different term information content models paves the way towards a solution to the issue of scoring a term's specificity in the GO DAG. PMID:24078912

  18. Information content-based gene ontology semantic similarity approaches: toward a unified framework theory.

    PubMed

    Mazandu, Gaston K; Mulder, Nicola J

    2013-01-01

    Several approaches have been proposed for computing term information content (IC) and semantic similarity scores within the gene ontology (GO) directed acyclic graph (DAG). These approaches contributed to improving protein analyses at the functional level. Considering the recent proliferation of these approaches, a unified theory in a well-defined mathematical framework is necessary in order to provide a theoretical basis for validating these approaches. We review the existing IC-based ontological similarity approaches developed in the context of biomedical and bioinformatics fields to propose a general framework and unified description of all these measures. We have conducted an experimental evaluation to assess the impact of IC approaches, different normalization models, and correction factors on the performance of a functional similarity metric. Results reveal that considering only parents or only children of terms when assessing information content or semantic similarity scores negatively impacts the approach under consideration. This study produces a unified framework for current and future GO semantic similarity measures and provides theoretical basics for comparing different approaches. The experimental evaluation of different approaches based on different term information content models paves the way towards a solution to the issue of scoring a term's specificity in the GO DAG.

  19. A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula.

    PubMed

    Ince, Robin A A; Giordano, Bruno L; Kayser, Christoph; Rousselet, Guillaume A; Gross, Joachim; Schyns, Philippe G

    2017-03-01

    We begin by reviewing the statistical framework of information theory as applicable to neuroimaging data analysis. A major factor hindering wider adoption of this framework in neuroimaging is the difficulty of estimating information theoretic quantities in practice. We present a novel estimation technique that combines the statistical theory of copulas with the closed form solution for the entropy of Gaussian variables. This results in a general, computationally efficient, flexible, and robust multivariate statistical framework that provides effect sizes on a common meaningful scale, allows for unified treatment of discrete, continuous, unidimensional and multidimensional variables, and enables direct comparisons of representations from behavioral and brain responses across any recording modality. We validate the use of this estimate as a statistical test within a neuroimaging context, considering both discrete stimulus classes and continuous stimulus features. We also present examples of analyses facilitated by these developments, including application of multivariate analyses to MEG planar magnetic field gradients, and pairwise temporal interactions in evoked EEG responses. We show the benefit of considering the instantaneous temporal derivative together with the raw values of M/EEG signals as a multivariate response, how we can separately quantify modulations of amplitude and direction for vector quantities, and how we can measure the emergence of novel information over time in evoked responses. Open-source Matlab and Python code implementing the new methods accompanies this article. Hum Brain Mapp 38:1541-1573, 2017. © 2016 Wiley Periodicals, Inc.

  20. Hybrid modelling framework by using mathematics-based and information-based methods

    NASA Astrophysics Data System (ADS)

    Ghaboussi, J.; Kim, J.; Elnashai, A.

    2010-06-01

    Mathematics-based computational mechanics involves idealization in going from the observed behaviour of a system into mathematical equations representing the underlying mechanics of that behaviour. Idealization may lead mathematical models that exclude certain aspects of the complex behaviour that may be significant. An alternative approach is data-centric modelling that constitutes a fundamental shift from mathematical equations to data that contain the required information about the underlying mechanics. However, purely data-centric methods often fail for infrequent events and large state changes. In this article, a new hybrid modelling framework is proposed to improve accuracy in simulation of real-world systems. In the hybrid framework, a mathematical model is complemented by information-based components. The role of informational components is to model aspects which the mathematical model leaves out. The missing aspects are extracted and identified through Autoprogressive Algorithms. The proposed hybrid modelling framework has a wide range of potential applications for natural and engineered systems. The potential of the hybrid methodology is illustrated through modelling highly pinched hysteretic behaviour of beam-to-column connections in steel frames.

  1. A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

    PubMed Central

    Giordano, Bruno L.; Kayser, Christoph; Rousselet, Guillaume A.; Gross, Joachim; Schyns, Philippe G.

    2016-01-01

    Abstract We begin by reviewing the statistical framework of information theory as applicable to neuroimaging data analysis. A major factor hindering wider adoption of this framework in neuroimaging is the difficulty of estimating information theoretic quantities in practice. We present a novel estimation technique that combines the statistical theory of copulas with the closed form solution for the entropy of Gaussian variables. This results in a general, computationally efficient, flexible, and robust multivariate statistical framework that provides effect sizes on a common meaningful scale, allows for unified treatment of discrete, continuous, unidimensional and multidimensional variables, and enables direct comparisons of representations from behavioral and brain responses across any recording modality. We validate the use of this estimate as a statistical test within a neuroimaging context, considering both discrete stimulus classes and continuous stimulus features. We also present examples of analyses facilitated by these developments, including application of multivariate analyses to MEG planar magnetic field gradients, and pairwise temporal interactions in evoked EEG responses. We show the benefit of considering the instantaneous temporal derivative together with the raw values of M/EEG signals as a multivariate response, how we can separately quantify modulations of amplitude and direction for vector quantities, and how we can measure the emergence of novel information over time in evoked responses. Open‐source Matlab and Python code implementing the new methods accompanies this article. Hum Brain Mapp 38:1541–1573, 2017. © 2016 Wiley Periodicals, Inc. PMID:27860095

  2. Causality Analysis of fMRI Data Based on the Directed Information Theory Framework.

    PubMed

    Wang, Zhe; Alahmadi, Ahmed; Zhu, David C; Li, Tongtong

    2016-05-01

    This paper aims to conduct fMRI-based causality analysis in brain connectivity by exploiting the directed information (DI) theory framework. Unlike the well-known Granger causality (GC) analysis, which relies on the linear prediction technique, the DI theory framework does not have any modeling constraints on the sequences to be evaluated and ensures estimation convergence. Moreover, it can be used to generate the GC graphs. In this paper, first, we introduce the core concepts in the DI framework. Second, we present how to conduct causality analysis using DI measures between two time series. We provide the detailed procedure on how to calculate the DI for two finite-time series. The two major steps involved here are optimal bin size selection for data digitization and probability estimation. Finally, we demonstrate the applicability of DI-based causality analysis using both the simulated data and experimental fMRI data, and compare the results with that of the GC analysis. Our analysis indicates that GC analysis is effective in detecting linear or nearly linear causal relationship, but may have difficulty in capturing nonlinear causal relationships. On the other hand, DI-based causality analysis is more effective in capturing both linear and nonlinear causal relationships. Moreover, it is observed that brain connectivity among different regions generally involves dynamic two-way information transmissions between them. Our results show that when bidirectional information flow is present, DI is more effective than GC to quantify the overall causal relationship.

  3. A mathematical framework for probabilistic choice based on information theory and psychophysics.

    PubMed

    Takahashi, Taiki

    2006-01-01

    Risky decision-making (e.g. reward dependency) has been associated with substance abuse, psychopathy and pathological gambling; conversely, marked sensitivity to risk and uncertainty have been observed in anxiety disorder patients. In economic decision theory, probability and uncertainty have been dissociated. Frank Knight defined uncertainty as loss of information on the probability distribution of outcomes for choices (i.e., unpredictability), which is referred to as Knightian uncertainty (also as ambiguity). However, even when the probability distribution of outcomes is known, there are different degrees of predictability. In information theory, this type of degrees of uncertainty/unpredictability has been parametrized by introducing Shannon entropy. In the present paper, we show: (i) a mathematical framework combining Shannon entropy in information theory and Weber's law in psychophysics is capable of parametrizing subject's level of both aversion to probabilistic uncertainty (exaggerated in anxiety disorder patients) and reward dependency (enhanced in drug addicts and pathological gamblers), and (ii) this framework has an analogue in thermodynamics, therefore this can readily be utilized in studies in the nascent fields of neuroeconomics and econophysics as well. Future study directions for elucidating maladaptive personality characteristics in neuropsychiatric patients by using the present framework are discussed.

  4. Framework for automatic information extraction from research papers on nanocrystal devices.

    PubMed

    Dieb, Thaer M; Yoshioka, Masaharu; Hara, Shinjiro; Newton, Marcus C

    2015-01-01

    To support nanocrystal device development, we have been working on a computational framework to utilize information in research papers on nanocrystal devices. We developed an annotated corpus called " NaDev" (Nanocrystal Device Development) for this purpose. We also proposed an automatic information extraction system called "NaDevEx" (Nanocrystal Device Automatic Information Extraction Framework). NaDevEx aims at extracting information from research papers on nanocrystal devices using the NaDev corpus and machine-learning techniques. However, the characteristics of NaDevEx were not examined in detail. In this paper, we conduct system evaluation experiments for NaDevEx using the NaDev corpus. We discuss three main issues: system performance, compared with human annotators; the effect of paper type (synthesis or characterization) on system performance; and the effects of domain knowledge features (e.g., a chemical named entity recognition system and list of names of physical quantities) on system performance. We found that overall system performance was 89% in precision and 69% in recall. If we consider identification of terms that intersect with correct terms for the same information category as the correct identification, i.e., loose agreement (in many cases, we can find that appropriate head nouns such as temperature or pressure loosely match between two terms), the overall performance is 95% in precision and 74% in recall. The system performance is almost comparable with results of human annotators for information categories with rich domain knowledge information (source material). However, for other information categories, given the relatively large number of terms that exist only in one paper, recall of individual information categories is not high (39-73%); however, precision is better (75-97%). The average performance for synthesis papers is better than that for characterization papers because of the lack of training examples for characterization papers

  5. A Health Surveillance Software Framework to deliver information on preventive healthcare strategies.

    PubMed

    Macedo, Alessandra Alaniz; Pollettini, Juliana Tarossi; Baranauskas, José Augusto; Chaves, Julia Carmona Almeida

    2016-08-01

    A software framework can reduce costs related to the development of an application because it allows developers to reuse both design and code. Recently, companies and research groups have announced that they have been employing health software frameworks. This paper presents the design, proof-of-concept implementations and experimentation of the Health Surveillance Software Framework (HSSF). The HSSF is a framework that tackles the demand for the recommendation of surveillance information aiming at supporting preventive healthcare strategies. Examples of such strategies are the automatic recommendation of surveillance levels to patients in need of healthcare and the automatic recommendation of scientific literature that elucidates epigenetic problems related to patients. HSSF was created from two systems we developed in our previous work on health surveillance systems: the Automatic-SL and CISS systems. The Automatic-SL system aims to assist healthcare professionals in making decisions and in identifying children with developmental problems. The CISS service associates genetic and epigenetic risk factors related to chronic diseases with patient's clinical records. Towards evaluating the HSSF framework, two new systems, CISS+ and CISS-SW, were created by means of abstractions and instantiations of the framework (design and code). We show that HSSF supported the development of the two new systems given that they both recommend scientific papers using medical records as queries even though they exploit different computational technologies. In an experiment using simulated patients' medical records, we show that CISS, CISS+, and CISS-SW systems recommended more closely related and somewhat related documents than Google, Google Scholar and PubMed. Considering recall and precision measures, CISS+ surpasses CISS-SW in terms of precision.

  6. Cognitive Neuroscience in Space

    PubMed Central

    De la Torre, Gabriel G.

    2014-01-01

    Humans are the most adaptable species on this planet, able to live in vastly different environments on Earth. Space represents the ultimate frontier and a true challenge to human adaptive capabilities. As a group, astronauts and cosmonauts are selected for their ability to work in the highly perilous environment of space, giving their best. Terrestrial research has shown that human cognitive and perceptual motor performances deteriorate under stress. We would expect to observe these effects in space, which currently represents an exceptionally stressful environment for humans. Understanding the neurocognitive and neuropsychological parameters influencing space flight is of high relevance to neuroscientists, as well as psychologists. Many of the environmental characteristics specific to space missions, some of which are also present in space flight simulations, may affect neurocognitive performance. Previous work in space has shown that various psychomotor functions degrade during space flight, including central postural functions, the speed and accuracy of aimed movements, internal timekeeping, attentional processes, sensing of limb position and the central management of concurrent tasks. Other factors that might affect neurocognitive performance in space are illness, injury, toxic exposure, decompression accidents, medication side effects and excessive exposure to radiation. Different tools have been developed to assess and counteract these deficits and problems, including computerized tests and physical exercise devices. It is yet unknown how the brain will adapt to long-term space travel to the asteroids, Mars and beyond. This work represents a comprehensive review of the current knowledge and future challenges of cognitive neuroscience in space from simulations and analog missions to low Earth orbit and beyond. PMID:25370373

  7. Cognitive neuroscience in space.

    PubMed

    De la Torre, Gabriel G

    2014-07-03

    Humans are the most adaptable species on this planet, able to live in vastly different environments on Earth. Space represents the ultimate frontier and a true challenge to human adaptive capabilities. As a group, astronauts and cosmonauts are selected for their ability to work in the highly perilous environment of space, giving their best. Terrestrial research has shown that human cognitive and perceptual motor performances deteriorate under stress. We would expect to observe these effects in space, which currently represents an exceptionally stressful environment for humans. Understanding the neurocognitive and neuropsychological parameters influencing space flight is of high relevance to neuroscientists, as well as psychologists. Many of the environmental characteristics specific to space missions, some of which are also present in space flight simulations, may affect neurocognitive performance. Previous work in space has shown that various psychomotor functions degrade during space flight, including central postural functions, the speed and accuracy of aimed movements, internal timekeeping, attentional processes, sensing of limb position and the central management of concurrent tasks. Other factors that might affect neurocognitive performance in space are illness, injury, toxic exposure, decompression accidents, medication side effects and excessive exposure to radiation. Different tools have been developed to assess and counteract these deficits and problems, including computerized tests and physical exercise devices. It is yet unknown how the brain will adapt to long-term space travel to the asteroids, Mars and beyond. This work represents a comprehensive review of the current knowledge and future challenges of cognitive neuroscience in space from simulations and analog missions to low Earth orbit and beyond.

  8. Microcephaly Information Page

    MedlinePlus

    ... Strategy Current Research Research Funded by NINDS Basic Neuroscience Clinical Research Translational Research Research at NINDS Focus ... Information Current Research Research Funded by NINDS Basic Neuroscience Clinical Research Translational Research Research at NINDS Focus ...

  9. A Physics-Informed Machine Learning Framework for RANS-based Predictive Turbulence Modeling

    NASA Astrophysics Data System (ADS)

    Xiao, Heng; Wu, Jinlong; Wang, Jianxun; Ling, Julia

    2016-11-01

    Numerical models based on the Reynolds-averaged Navier-Stokes (RANS) equations are widely used in turbulent flow simulations in support of engineering design and optimization. In these models, turbulence modeling introduces significant uncertainties in the predictions. In light of the decades-long stagnation encountered by the traditional approach of turbulence model development, data-driven methods have been proposed as a promising alternative. We will present a data-driven, physics-informed machine-learning framework for predictive turbulence modeling based on RANS models. The framework consists of three components: (1) prediction of discrepancies in RANS modeled Reynolds stresses based on machine learning algorithms, (2) propagation of improved Reynolds stresses to quantities of interests with a modified RANS solver, and (3) quantitative, a priori assessment of predictive confidence based on distance metrics in the mean flow feature space. Merits of the proposed framework are demonstrated in a class of flows featuring massive separations. Significant improvements over the baseline RANS predictions are observed. The favorable results suggest that the proposed framework is a promising path toward RANS-based predictive turbulence in the era of big data. (SAND2016-7435 A).

  10. p-BioSPRE—an information and communication technology framework for transnational biomaterial sharing and access

    PubMed Central

    Weiler, Gabriele; Schröder, Christina; Schera, Fatima; Dobkowicz, Matthias; Kiefer, Stephan; Heidtke, Karsten R; Hänold, Stefanie; Nwankwo, Iheanyi; Forgó, Nikolaus; Stanulla, Martin; Eckert, Cornelia; Graf, Norbert

    2014-01-01

    Biobanks represent key resources for clinico-genomic research and are needed to pave the way to personalised medicine. To achieve this goal, it is crucial that scientists can securely access and share high-quality biomaterial and related data. Therefore, there is a growing interest in integrating biobanks into larger biomedical information and communication technology (ICT) infrastructures. The European project p-medicine is currently building an innovative ICT infrastructure to meet this need. This platform provides tools and services for conducting research and clinical trials in personalised medicine. In this paper, we describe one of its main components, the biobank access framework p-BioSPRE (p-medicine Biospecimen Search and Project Request Engine). This generic framework enables and simplifies access to existing biobanks, but also to offer own biomaterial collections to research communities, and to manage biobank specimens and related clinical data over the ObTiMA Trial Biomaterial Manager. p-BioSPRE takes into consideration all relevant ethical and legal standards, e.g., safeguarding donors’ personal rights and enabling biobanks to keep control over the donated material and related data. The framework thus enables secure sharing of biomaterial within open and closed research communities, while flexibly integrating related clinical and omics data. Although the development of the framework is mainly driven by user scenarios from the cancer domain, in this case, acute lymphoblastic leukaemia and Wilms tumour, it can be extended to further disease entities. PMID:24567758

  11. A service-oriented medical framework for fast and adaptive information delivery in mobile environment.

    PubMed

    Park, Eunjeong; Nam, Hyo Suk

    2009-11-01

    The need for fast treatment of patients in critical conditions motivates the use of mobile devices to provide prompt and consistent communication between hospitals and physicians. We propose a framework that supports ubiquitous access to medical systems using personalized mobile services and integrated medical systems. The proposed service-oriented medical framework provides dynamically composed services that are adapted to contextual variables such as the user's role, the network bandwidth, and resources available at mobile devices while supporting task allocation in distributed servers for massive resource-consuming services. It also manages accurate patient data by integrating local medical systems using medical information standards such as Digital Imaging and Communications in Medicine and Health Level 7. We have demonstrated the effectiveness of our framework by building a prototype of context-based adaptation of computerized tomography image retrieval for acute stroke treatments, which allows images to be viewed on mobile devices with WiMax wireless network. The proposed medical framework reduces hospital delays of patients and facilitates treatments in the absence of medical specialists.

  12. Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions

    PubMed Central

    Forstmann, B.U.; Ratcliff, R.; Wagenmakers, E.-J.

    2016-01-01

    Sequential sampling models assume that people make speeded decisions by gradually accumulating noisy information until a threshold of evidence is reached. In cognitive science, one such model—the diffusion decision model—is now regularly used to decompose task performance into underlying processes such as the quality of information processing, response caution, and a priori bias. In the cognitive neurosciences, the diffusion decision model has recently been adopted as a quantitative tool to study the neural basis of decision making under time pressure. We present a selective overview of several recent applications and extensions of the diffusion decision model in the cognitive neurosciences. PMID:26393872

  13. A framework for identifying the applicability of heating or cooling technologies based on initial project information

    NASA Astrophysics Data System (ADS)

    Cacace, Katie Meng

    In order to fully achieve the energy savings and human comfort benefits of many alternative heating and cooling technologies, design considerations for these technologies must be made during the conceptual design stage. However, at this stage architects are often faced with challenges that inhibit the integration of such technologies. At the early stages of design, architects have limited time and technical knowledge to research alternative technologies and mechanical engineers are typically not yet part of the design team to offer their expertise. To address these problems, this research developed a framework for a Technology Identifier that would inform an architect about alternative heating and cooling technologies that are applicable to their specific project at the conceptual design stage. The framework is based on the premise that a quantitative relationship between the initial project information and a technology's critical output variable(s) for heat transfer to the space can be established. Therefore, to be included in the framework a technology must possess a component that provides direct heat transfer to the space for the framework to determine if the technology can maintain the desired space temperature. The climatic influences on a technology's performance and the effect of changing a technology's input variables on the heat transfer output variable(s) were also quantified. Existing building energy simulation programs were used in these analyses. The framework develops simulation input files for multiple technologies, utilizes existing simulation programs to predict the performance of these technologies, and then displays the output results along with other information that is useful to designers at the conceptual stage. Each simulation input file is compiled from a template that queries databases and requires minimal user input. The output display includes the space temperature, energy consumption, and design considerations of each technology. A

  14. Harnessing the Power of Education Research Databases with the Pearl-Harvesting Methodological Framework for Information Retrieval

    ERIC Educational Resources Information Center

    Sandieson, Robert W.; Kirkpatrick, Lori C.; Sandieson, Rachel M.; Zimmerman, Walter

    2010-01-01

    Digital technologies enable the storage of vast amounts of information, accessible with remarkable ease. However, along with this facility comes the challenge to find pertinent information from the volumes of nonrelevant information. The present article describes the pearl-harvesting methodological framework for information retrieval. Pearl…

  15. Technology-Assisted Patient Access to Clinical Information: An Evaluation Framework for Blue Button

    PubMed Central

    Nazi, Kim M; Luger, Tana M; Amante, Daniel J; Smith, Bridget M; Barker, Anna; Shimada, Stephanie L; Volkman, Julie E; Garvin, Lynn; Simon, Steven R; Houston, Thomas K

    2014-01-01

    Background Patient access to clinical information represents a means to improve the transparency and delivery of health care as well as interactions between patients and health care providers. We examine the movement toward augmenting patient access to clinical information using technology. Our analysis focuses on “Blue Button,” a tool that many health care organizations are implementing as part of their Web-based patient portals. Objective We present a framework for evaluating the effects that technology-assisted access to clinical information may have on stakeholder experiences, processes of care, and health outcomes. Methods A case study of the United States Department of Veterans Affairs' (VA) efforts to make increasing amounts of clinical information available to patients through Blue Button. Drawing on established collaborative relationships with researchers, clinicians, and operational partners who are engaged in the VA’s ongoing implementation and evaluation efforts related to Blue Button, we assessed existing evidence and organizational practices through key informant interviews, review of documents and other available materials, and an environmental scan of published literature and the websites of other health care organizations. Results Technology-assisted access to clinical information represents a significant advance for VA patients and marks a significant change for the VA as an organization. Evaluations of Blue Button should (1) consider both processes of care and outcomes, (2) clearly define constructs of focus, (3) examine influencing factors related to the patient population and clinical context, and (4) identify potential unintended consequences. Conclusions The proposed framework can serve as a roadmap to guide subsequent research and evaluation of technology-assisted patient access to clinical information. To that end, we offer a series of related recommendations. PMID:24675395

  16. Explain the Brain: Websites to Help Scientists Teach Neuroscience to the General Public

    ERIC Educational Resources Information Center

    Chudler, Eric H.; Bergsman, Kristen Clapper

    2014-01-01

    The field of neuroscience has experienced enormous growth over the past few decades. Educators look to neuroscience to become better teachers; lawyers and judges explore the literature to gain insight into court cases; and marketers consider the use of brain scans to glean information about consumer preferences. With this increased interest in…

  17. Neuroscience and the future of early childhood policy: moving from why to what and how.

    PubMed

    Shonkoff, Jack P; Levitt, Pat

    2010-09-09

    There is a need for greater synergy between advances in neuroscience and the formulation of innovative policies to improve life outcomes for children experiencing significant adversity. Translational developmental neuroscience can inform new theories of change to catalyze more effective interventions that lead to a more productive and healthier society.

  18. Developing a monitoring and evaluation framework to integrate and formalize the informal waste and recycling sector: the case of the Philippine National Framework Plan.

    PubMed

    Serrona, Kevin Roy B; Yu, Jeongsoo; Aguinaldo, Emelita; Florece, Leonardo M

    2014-09-01

    The Philippines has been making inroads in solid waste management with the enactment and implementation of the Republic Act 9003 or the Ecological Waste Management Act of 2000. Said legislation has had tremendous influence in terms of how the national and local government units confront the challenges of waste management in urban and rural areas using the reduce, reuse, recycle and recovery framework or 4Rs. One of the sectors needing assistance is the informal waste sector whose aspiration is legal recognition of their rank and integration of their waste recovery activities in mainstream waste management. To realize this, the Philippine National Solid Waste Management Commission initiated the formulation of the National Framework Plan for the Informal Waste Sector, which stipulates approaches, strategies and methodologies to concretely involve the said sector in different spheres of local waste management, such as collection, recycling and disposal. What needs to be fleshed out is the monitoring and evaluation component in order to gauge qualitative and quantitative achievements vis-a-vis the Framework Plan. In the process of providing an enabling environment for the informal waste sector, progress has to be monitored and verified qualitatively and quantitatively and measured against activities, outputs, objectives and goals. Using the Framework Plan as the reference, this article developed monitoring and evaluation indicators using the logical framework approach in project management. The primary objective is to institutionalize monitoring and evaluation, not just in informal waste sector plans, but in any waste management initiatives to ensure that envisaged goals are achieved.

  19. Beyond criminalization: toward a criminologically informed framework for mental health policy and services research.

    PubMed

    Fisher, William H; Silver, Eric; Wolff, Nancy

    2006-09-01

    The problems posed by persons with mental illness involved with the criminal justice system are vexing ones that have received attention at the local, state and national levels. The conceptual model currently guiding research and social action around these problems is shaped by the "criminalization" perspective and the associated belief that reconnecting individuals with mental health services will by itself reduce risk for arrest. This paper argues that such efforts are necessary but possibly not sufficient to achieve that reduction. Arguing for the need to develop a services research framework that identifies a broader range of risk factors for arrest, we describe three potentially useful criminological frameworks-the "life course," "local life circumstances" and "routine activities" perspectives. Their utility as platforms for research in a population of persons with mental illness is discussed and suggestions are provided with regard to how services research guided by these perspectives might inform the development of community-based services aimed at reducing risk of arrest.

  20. Architecture of a Framework for Providing Information Services for Public Transport

    PubMed Central

    García, Carmelo R.; Pérez, Ricardo; Lorenzo, Álvaro; Quesada-Arencibia, Alexis; Alayón, Francisco; Padrón, Gabino

    2012-01-01

    This paper presents OnRoute, a framework for developing and running ubiquitous software that provides information services to passengers of public transportation, including payment systems and on-route guidance services. To achieve a high level of interoperability, accessibility and context awareness, OnRoute uses the ubiquitous computing paradigm. To guarantee the quality of the software produced, the reliable software principles used in critical contexts, such as automotive systems, are also considered by the framework. The main components of its architecture (run-time, system services, software components and development discipline) and how they are deployed in the transportation network (stations and vehicles) are described in this paper. Finally, to illustrate the use of OnRoute, the development of a guidance service for travellers is explained. PMID:22778585

  1. Measuring and improving patient safety through health information technology: The Health IT Safety Framework.

    PubMed

    Singh, Hardeep; Sittig, Dean F

    2016-04-01

    Health information technology (health IT) has potential to improve patient safety but its implementation and use has led to unintended consequences and new safety concerns. A key challenge to improving safety in health IT-enabled healthcare systems is to develop valid, feasible strategies to measure safety concerns at the intersection of health IT and patient safety. In response to the fundamental conceptual and methodological gaps related to both defining and measuring health IT-related patient safety, we propose a new framework, the Health IT Safety (HITS) measurement framework, to provide a conceptual foundation for health IT-related patient safety measurement, monitoring, and improvement. The HITS framework follows both Continuous Quality Improvement (CQI) and sociotechnical approaches and calls for new measures and measurement activities to address safety concerns in three related domains: 1) concerns that are unique and specific to technology (e.g., to address unsafe health IT related to unavailable or malfunctioning hardware or software); 2) concerns created by the failure to use health IT appropriately or by misuse of health IT (e.g. to reduce nuisance alerts in the electronic health record (EHR)), and 3) the use of health IT to monitor risks, health care processes and outcomes and identify potential safety concerns before they can harm patients (e.g. use EHR-based algorithms to identify patients at risk for medication errors or care delays). The framework proposes to integrate both retrospective and prospective measurement of HIT safety with an organization's existing clinical risk management and safety programs. It aims to facilitate organizational learning, comprehensive 360 degree assessment of HIT safety that includes vendor involvement, refinement of measurement tools and strategies, and shared responsibility to identify problems and implement solutions. A long term framework goal is to enable rigorous measurement that helps achieve the safety

  2. A Concise and Practical Framework for the Development and Usability Evaluation of Patient Information Websites

    PubMed Central

    Knijnenburg, S.L.; Kremer, L.C.; Jaspers, M.W.M.

    2015-01-01

    Summary Background The Website Developmental Model for the Healthcare Consumer (WDMHC) is an extensive and successfully evaluated framework that incorporates user-centered design principles. However, due to its extensiveness its application is limited. In the current study we apply a subset of the WDMHC framework in a case study concerning the development and evaluation of a website aimed at childhood cancer survivors (CCS). Objective To assess whether the implementation of a limited subset of the WDMHC-framework is sufficient to deliver a high-quality website with few usability problems, aimed at a specific patient population. Methods The website was developed using a six-step approach divided into three phases derived from the WDMHC: 1) information needs analysis, mock-up creation and focus group discussion; 2) website prototype development; and 3) heuristic evaluation (HE) and think aloud analysis (TA). The HE was performed by three double experts (knowledgeable both in usability engineering and childhood cancer survivorship), who assessed the site using the Nielsen heuristics. Eight end-users were invited to complete three scenarios covering all functionality of the website by TA. Results The HE and TA were performed concurrently on the website prototype. The HE resulted in 29 unique usability issues; the end-users performing the TA encountered eleven unique problems. Four issues specifically revealed by HE concerned cosmetic design flaws, whereas two problems revealed by TA were related to website content. Conclusion Based on the subset of the WDMHC framework we were able to deliver a website that closely matched the expectancy of the end-users and resulted in relatively few usability problems during end-user testing. With the successful application of this subset of the WDMHC, we provide developers with a clear and easily applicable framework for the development of healthcare websites with high usability aimed at specific medical populations. PMID:26171083

  3. Disseminating maternal health information to rural women: a user centered design framework.

    PubMed

    Parmar, Vikram

    2010-11-13

    The delivery of primary health information to rural women is a considerable challenge for government and private sectors in rural India. This paper illustrates how by applying the proposed user centered framework dissemination of maternal health information to rural women can be improved. First, the paper presents baseline study to obtain existing knowledge level of women and design requirements for a Primary Health Information System (PHIS). Second, the paper presents a brief description of the PHIS system which was deployed in a village for sixteen months in rural India. Third, the paper explains longitudinal study conducted post intervention of PHIS to measure the impact of PHIS on the knowledge level and health behaviour of rural women in comparison to the baseline study. The results indicate that by following the proposed user centered approach to design the PHIS, a significant improvement in knowledge level of rural women and positive changes in health practices are achieved.

  4. Trauma-Informed Social Policy: A Conceptual Framework for Policy Analysis and Advocacy.

    PubMed

    Bowen, Elizabeth A; Murshid, Nadine Shaanta

    2016-02-01

    Trauma-informed care is a service provision model used across a range of practice settings. Drawing on an extensive body of research on trauma (broadly defined as experiences that produce enduring emotional pain and distress) and health outcomes, we have argued that the principles of trauma-informed care can be extended to social policy. Citing a variety of health-related policy examples, we have described how policy can better reflect 6 core principles of trauma-informed care: safety, trustworthiness and transparency, collaboration, empowerment, choice, and intersectionality. This framework conveys a politicized understanding of trauma, reflecting the reality that trauma and its effects are not equally distributed, and offers a pathway for public health professionals to disrupt trauma-driven health disparities through policy action.

  5. Imaging Mass Spectrometry in Neuroscience

    PubMed Central

    2013-01-01

    Imaging mass spectrometry is an emerging technique of great potential for investigating the chemical architecture in biological matrices. Although the potential for studying neurobiological systems is evident, the relevance of the technique for application in neuroscience is still in its infancy. In the present Review, a principal overview of the different approaches, including matrix assisted laser desorption ionization and secondary ion mass spectrometry, is provided with particular focus on their strengths and limitations for studying different neurochemical species in situ and in vitro. The potential of the various approaches is discussed based on both fundamental and biomedical neuroscience research. This Review aims to serve as a general guide to familiarize the neuroscience community and other biomedical researchers with the technique, highlighting its great potential and suitability for comprehensive and specific chemical imaging. PMID:23530951

  6. Can frameworks inform knowledge about health policy processes? Reviewing health policy papers on agenda setting and testing them against a specific priority-setting framework.

    PubMed

    Walt, Gill; Gilson, Lucy

    2014-12-01

    This article systematically reviews a set of health policy papers on agenda setting and tests them against a specific priority-setting framework. The article applies the Shiffman and Smith framework in extracting and synthesizing data from an existing set of papers, purposively identified for their relevance and systematically reviewed. Its primary aim is to assess how far the component parts of the framework help to identify the factors that influence the agenda setting stage of the policy process at global and national levels. It seeks to advance the field and inform the development of theory in health policy by examining the extent to which the framework offers a useful approach for organizing and analysing data. Applying the framework retrospectively to the selected set of papers, it aims to explore influences on priority setting and to assess how far the framework might gain from further refinement or adaptation, if used prospectively. In pursuing its primary aim, the article also demonstrates how the approach of framework synthesis can be used in health policy analysis research.

  7. The cognitive neuroscience of ageing.

    PubMed

    Grady, Cheryl

    2012-06-20

    The availability of neuroimaging technology has spurred a marked increase in the human cognitive neuroscience literature, including the study of cognitive ageing. Although there is a growing consensus that the ageing brain retains considerable plasticity of function, currently measured primarily by means of functional MRI, it is less clear how age differences in brain activity relate to cognitive performance. The field is also hampered by the complexity of the ageing process itself and the large number of factors that are influenced by age. In this Review, current trends and unresolved issues in the cognitive neuroscience of ageing are discussed.

  8. Preface: psychophysiology and cognitive neuroscience.

    PubMed

    Tranel, Daniel

    2006-07-01

    The intersection of psychophysiology and cognitive neuroscience has proved to be fertile ground for advancing our understanding of the neurobiological basis of behavior. The eight original empirical articles in this special issue contribute a variety of new evidence for how various bodily processes interrelate with brain processes, especially in the service of emotions and feelings. The findings are rich in their own right, and they also underscore the value of psychophysiological approaches in the investigation of brain-behavior relationships. This type of work is helping to shape a new field of "affective neuroscience."

  9. From baconian to popperian neuroscience

    PubMed Central

    2012-01-01

    The development of neuroscience over the past 50 years has some similarities with the development of physics in the 17th century. Towards the beginning of that century, Bacon promoted the systematic gathering of experimental data and the induction of scientific truth; towards the end, Newton expressed his principles of gravitation and motion in a concise set of mathematical equations that made precise falsifiable predictions. This paper expresses the opinion that as neuroscience comes of age, it needs to move away from amassing large quantities of data about the brain, and adopt a popperian model in which theories are developed that can make strong falsifiable predictions and guide future experimental work. PMID:22330680

  10. Classics in Chemical Neuroscience: Haloperidol.

    PubMed

    Tyler, Marshall W; Zaldivar-Diez, Josefa; Haggarty, Stephen J

    2017-02-15

    The discovery of haloperidol catalyzed a breakthrough in our understanding of the biochemical basis of schizophrenia, improved the treatment of psychosis, and facilitated deinstitutionalization. In doing so, it solidified the role for chemical neuroscience as a means to elucidate the molecular underpinnings of complex neuropsychiatric disorders. In this Review, we will cover aspects of haloperidol's synthesis, manufacturing, metabolism, pharmacology, approved and off-label indications, and adverse effects. We will also convey the fascinating history of this classic molecule and the influence that it has had on the evolution of neuropsychopharmacology and neuroscience.

  11. On directed information theory and Granger causality graphs.

    PubMed

    Amblard, Pierre-Olivier; Michel, Olivier J J

    2011-02-01

    Directed information theory deals with communication channels with feedback. When applied to networks, a natural extension based on causal conditioning is needed. We show here that measures built from directed information theory in networks can be used to assess Granger causality graphs of stochastic processes. We show that directed information theory includes measures such as the transfer entropy, and that it is the adequate information theoretic framework needed for neuroscience applications, such as connectivity inference problems.

  12. A Dynamic Information Framework (DIF): A Portal for the Changing Biogeochemistry of Aquatic Systems

    NASA Astrophysics Data System (ADS)

    Richey, J. E.; Fernandes, E. C. M.

    2014-12-01

    The ability of societies to adapt to climate and landuse change in aquatic systems is functionally and practically expressed by how regional stakeholders are able to address complex management issues. These targets represent a very complex set of intersecting issues of scale, cross-sector science and technology, education, politics, and economics. Implications transcend individual projects and ministries. An immediate challenge is to incorporate the realities of changing environmental conditions in these sectors into the policies and projects of the Ministries nominally responsible. Ideally this would be done on the basis of the absolute best understanding of the issues involved, and done in a way that optimizes a multi-stakeholder return. Central to a response is "actionable information-" the synthesis and "bringing to life" of the key information that integrates the end-to-end knowledge required to provide the high-level decision support to make the most informed decisions. But, in practice, the information necessary and even perspectives are virtually absent, in much of especially the developing world. To meet this challenge, we have been developing a Dynamic Information Framework (DIF), primarily through collaborations with the World Bank in Asia, Africa, and Brazil. The DIF is, essentially a decision support structure, built around "earth system" models. The environment is built on progressive information layers that are fed through hydrological and geospatial landscape models to produce outputs that address specific science questions related to water resources management of the region. Information layers from diverse sources are assembled, according to the principles of how the landscape is organized, and computer models are used to bring the information "to life." A fundamental aspect to a DIF is not only the convergence of multi-sector information, but how that information can be conveyed, in the most compelling, and visual, manner. Deployment of the

  13. Translating knowledge: a framework for evidence-informed yoga programs in oncology.

    PubMed

    Wurz, Amanda J; Capozzi, Lauren C; Mackenzie, Michael J; Danhauer, Suzanne C; Culos-Reed, Nicole

    2013-01-01

    Empirical research suggests that yoga may positively influence the negative psychosocial and physical side effects associated with cancer and its treatment. The translation of these findings into sustainable, evidence-informed yoga programming for cancer survivors has lagged behind the research. This article provides (a) an overview of the yoga and cancer research, (b) a framework for successfully developing and delivering yoga to cancer populations, and (c) an example of a successful community-based program. The importance of continued research and knowledge translation efforts in the context of yoga and integrative oncology are highlighted.

  14. The dynamic information architecture system : an advanced simulation framework for military and civilian applications.

    SciTech Connect

    Campbell, A. P.; Hummel, J. R.

    1998-01-08

    DIAS, the Dynamic Information Architecture System, is an object-oriented simulation system that was designed to provide an integrating framework in which new or legacy software applications can operate in a context-driven frame of reference. DIAS provides a flexible and extensible mechanism to allow disparate, and mixed language, software applications to interoperate. DIAS captures the dynamic interplay between different processes or phenomena in the same frame of reference. Finally, DIAS accommodates a broad range of analysis contexts, with widely varying spatial and temporal resolutions and fidelity.

  15. Employing Kirkpatrick's evaluation framework to determine the effectiveness of health information management courses and programs.

    PubMed

    Rouse, Donald Nick

    2011-04-01

    Evaluation of the impact and effectiveness of courses is necessary so that strengths and weaknesses can be identified and improvements made. This article uses Kirkpatrick's evaluation framework to present a model that health information management (HIM) instructors can use to improve upon the standard course evaluation form. Kirkpatrick's model stresses evaluation on the levels of reaction, learning, behavior, and results. The proposed course evaluation model addresses the first three of these levels and focuses on the conditions necessary for transfer of learned knowledge and skills into on-the-job application. The article provides concrete tips that HIM instructors can apply in the process of evaluating the effectiveness of their courses and programs.

  16. Understanding decision neuroscience: a multidisciplinary perspective and neural substrates.

    PubMed

    Miyapuram, Krishna P; Pammi, V S Chandrasekhar

    2013-01-01

    The neuroscience of decision making is a rapidly evolving multidisciplinary research area that employs neuroscientific techniques to explain various parameters associated with decision making behavior. In this chapter, we emphasize the role of multiple disciplines such as psychology, economics, neuroscience, and computational approaches in understanding the phenomenon of decision making. Further, we present a theoretical approach that suggests understanding the building blocks of decision making as bottom-up processes and integrate these with top-down modulatory factors. Relevant neurophysiological and neuroimaging findings that have used the building-block approach are reviewed. A unifying framework emphasizing multidisciplinary views would bring further insights into the active research area of decision making. Pointing to future directions for research, we focus on the role of computational approaches in such a unifying framework.

  17. Kalman meets neuron - the intersection of control theory and neuroscience

    NASA Astrophysics Data System (ADS)

    Schiff, Steven

    2009-03-01

    Since the 1950s, we have developed mature theories of modern control theory and computational neuroscience with almost no interaction between these disciplines. With the advent of computationally efficient nonlinear Kalman filtering techniques, along with improved neuroscience models which provide increasingly accurate reconstruction of dynamics in a variety of important normal and disease states in the brain, the prospects for a synergistic interaction between these fields are now strong. I will show recent examples of the use of nonlinear control theory for the assimilation and control of single neuron dynamics, a novel framework for dynamic clamp, the modulation of oscillatory wave dynamics in brain cortex, a control framework for Parkinsonian dynamics and seizures, and the use of optimized parameter model networks to assimilate complex network data.

  18. Quality of service management framework for dynamic chaining of geographic information services

    NASA Astrophysics Data System (ADS)

    Onchaga, Richard

    2006-06-01

    Dynamic chaining of geographic information services (geo-services) is gaining popularity as a new paradigm for evolving flexible geo-information systems and for providing on-demand access to geo-information. In dynamic chaining, disparate geo-services are discovered and composed at run time to yield more elaborate functionality and create value-added geo-information. Common approaches to service chaining discover and compose disparate geo-services based on the functional capability of individual geo-services. The primary concern of common approaches is thus the emergent behavior of the resulting composite geo-service. However, as geo-services become mundane and take on a greater and more strategic role in mission critical processes, deliverable quality of service (QoS) becomes an important concern. QoS concerns operational characteristics of a service that determine its utility in an application context. To address pertinent QoS requirements, a new approach to service chaining becomes necessary. In this paper we propose a QoS-aware chaining approach in which geo-services are discovered, composed and executed considering both functional and QoS requirements. We prescribe a QoS management framework that defines fundamental principles, concepts and mechanisms which can be applied to evolve an effective distributed computing platform for QoS-aware chaining of geo-services - the so-called geo-service infrastructure. The paper also defines an extensible QoS model for services delivered by dynamic compositions of geo-services. The process of orthophoto generation is used to demonstrate the applicability of the prescribed framework to service-oriented geographic information processing.

  19. A thought experiment reconciling neuroscience and psychoanalysis.

    PubMed

    Falissard, Bruno

    2011-12-01

    Thought experiments have a long tradition in science. The thought experiment proposed in this article designs a brain that is compatible with a conceptual framework that integrates neuroscience and psychoanalysis. A connectionist model with emergent collective computational abilities is modified progressively and gradually to retrieve concepts such as the following: life instinct, the death instinct, the conscious, the preconscious, the unconscious, the free-association method, parapraxis, repetitive compulsion, repression, self, other, and "I". In this model, the process of memorisation is represented by a neural network with deep depressions, the bottoms of which correspond to learned configurations known as "attractors". This thought experiment could be helpful in suggesting new formulations of traditional psychoanalytic and neuroscientific constructs.

  20. eClims: An Extensible and Dynamic Integration Framework for Biomedical Information Systems.

    PubMed

    Savonnet, Marinette; Leclercq, Eric; Naubourg, Pierre

    2016-11-01

    Biomedical information systems (BIS) require consideration of three types of variability: data variability induced by new high throughput technologies, schema or model variability induced by large scale studies or new fields of research, and knowledge variability resulting from new discoveries. Beyond data heterogeneity, managing variabilities in the context of BIS requires extensible and dynamic integration process. In this paper, we focus on data and schema variabilities and we propose an integration framework based on ontologies, master data, and semantic annotations. The framework addresses issues related to: 1) collaborative work through a dynamic integration process; 2) variability among studies using an annotation mechanism; and 3) quality control over data and semantic annotations. Our approach relies on two levels of knowledge: BIS-related knowledge is modeled using an application ontology coupled with UML models that allow controlling data completeness and consistency, and domain knowledge is described by a domain ontology, which ensures data coherence. A system build with the eClims framework has been implemented and evaluated in the context of a proteomic platform.

  1. Application of a QMRA Framework to Inform Selection of Drinking Water Interventions in the Developing Context.

    PubMed

    Petterson, S R

    2016-02-01

    The aim of this study was to develop a modified quantitative microbial risk assessment (QMRA) framework that could be applied as a decision support tool to choose between alternative drinking water interventions in the developing context. The impact of different household water treatment (HWT) interventions on the overall incidence of diarrheal disease and disability adjusted life years (DALYs) was estimated, without relying on source water pathogen concentration as the starting point for the analysis. A framework was developed and a software tool constructed and then implemented for an illustrative case study for Nepal based on published scientific data. Coagulation combined with free chlorine disinfection provided the greatest estimated health gains in the short term; however, when long-term compliance was incorporated into the calculations, the preferred intervention was porous ceramic filtration. The model demonstrates how the QMRA framework can be used to integrate evidence from different studies to inform management decisions, and in particular to prioritize the next best intervention with respect to estimated reduction in diarrheal incidence. This study only considered HWT interventions; it is recognized that a systematic consideration of sanitation, recreation, and drinking water pathways is important for effective management of waterborne transmission of pathogens, and the approach could be expanded to consider the broader water-related context.

  2. Ecological Modelling of Individual and Contextual Influences: A Person-in-Environment Framework for Hypothetico-Deductive Information Behaviour Research

    ERIC Educational Resources Information Center

    Sin, Sei-Ching Joanna

    2015-01-01

    Introduction: This paper discusses the person-in-environment framework, which proposes the inclusion of environmental factors, alongside personal factors, as the explanatory factors of individual-level information behaviour and outcome. Method: The paper first introduces the principles and schematic formulas of the person-in-environment framework.…

  3. Can Neuroscience Construct a Literate Gendered Culture?

    ERIC Educational Resources Information Center

    Whitehead, David

    2011-01-01

    The construction of boys as a gendered culture is not usually associated with neuroscience. Exceptions are publications and presentations by consultants on boys' education who adopt a "brain-based" perspective. From a neuroscience perspective, my analysis indicates the selective use of primary neuroscience research to construct and perpetuate…

  4. Promises, promises for neuroscience and law.

    PubMed

    Buckholtz, Joshua W; Faigman, David L

    2014-09-22

    Stunning technical advances in the ability to image the human brain have provoked excited speculation about the application of neuroscience to other fields. The 'promise' of neuroscience for law has been touted with particular enthusiasm. Here, we contend that this promise elides fundamental conceptual issues that limit the usefulness of neuroscience for law. Recommendations for overcoming these challenges are offered.

  5. Mind the fish: zebrafish as a model in cognitive social neuroscience.

    PubMed

    Oliveira, Rui F

    2013-01-01

    Understanding how the brain implements social behavior on one hand, and how social processes feedback on the brain to promote fine-tuning of behavioral output according to changes in the social environment is a major challenge in contemporary neuroscience. A critical step to take this challenge successfully is finding the appropriate level of analysis when relating social to biological phenomena. Given the enormous complexity of both the neural networks of the brain and social systems, the use of a cognitive level of analysis (in an information processing perspective) is proposed here as an explanatory interface between brain and behavior. A conceptual framework for a cognitive approach to comparative social neuroscience is proposed, consisting of the following steps to be taken across different species with varying social systems: (1) identification of the functional building blocks of social skills; (2) identification of the cognitive mechanisms underlying the previously identified social skills; and (3) mapping these information processing mechanisms onto the brain. Teleost fish are presented here as a group of choice to develop this approach, given the diversity of social systems present in closely related species that allows for planned phylogenetic comparisons, and the availability of neurogenetic tools that allows the visualization and manipulation of selected neural circuits in model species such as the zebrafish. Finally, the state-of-the art of zebrafish social cognition and of the tools available to map social cognitive abilities to neural circuits in zebrafish are reviewed.

  6. Adolescent maturity and the brain: the promise and pitfalls of neuroscience research in adolescent health policy.

    PubMed

    Johnson, Sara B; Blum, Robert W; Giedd, Jay N

    2009-09-01

    Longitudinal neuroimaging studies demonstrate that the adolescent brain continues to mature well into the 20s. This has prompted intense interest in linking neuromaturation to maturity of judgment. Public policy is struggling to keep up with burgeoning interest in cognitive neuroscience and neuroimaging. However, empirical evidence linking neurodevelopmental processes and adolescent real-world behavior remains sparse. Nonetheless, adolescent brain development research is already shaping public policy debates about when individuals should be considered mature for policy purposes. With this in mind, in this article we summarize what is known about adolescent brain development and what remains unknown, as well as what neuroscience can and cannot tell us about the adolescent brain and behavior. We suggest that a conceptual framework that situates brain science in the broader context of adolescent developmental research would help to facilitate research-to-policy translation. Furthermore, although contemporary discussions of adolescent maturity and the brain often use a deficit-based approach, there is enormous opportunity for brain science to illuminate the great strengths and potentialities of the adolescent brain. So, too, can this information inform policies that promote adolescent health and well-being.

  7. Mind the fish: zebrafish as a model in cognitive social neuroscience

    PubMed Central

    Oliveira, Rui F.

    2013-01-01

    Understanding how the brain implements social behavior on one hand, and how social processes feedback on the brain to promote fine-tuning of behavioral output according to changes in the social environment is a major challenge in contemporary neuroscience. A critical step to take this challenge successfully is finding the appropriate level of analysis when relating social to biological phenomena. Given the enormous complexity of both the neural networks of the brain and social systems, the use of a cognitive level of analysis (in an information processing perspective) is proposed here as an explanatory interface between brain and behavior. A conceptual framework for a cognitive approach to comparative social neuroscience is proposed, consisting of the following steps to be taken across different species with varying social systems: (1) identification of the functional building blocks of social skills; (2) identification of the cognitive mechanisms underlying the previously identified social skills; and (3) mapping these information processing mechanisms onto the brain. Teleost fish are presented here as a group of choice to develop this approach, given the diversity of social systems present in closely related species that allows for planned phylogenetic comparisons, and the availability of neurogenetic tools that allows the visualization and manipulation of selected neural circuits in model species such as the zebrafish. Finally, the state-of-the art of zebrafish social cognition and of the tools available to map social cognitive abilities to neural circuits in zebrafish are reviewed. PMID:23964204

  8. Adolescent Maturity and the Brain: The Promise and Pitfalls of Neuroscience Research in Adolescent Health Policy

    PubMed Central

    Johnson, Sara B.; Blum, Robert W.; Giedd, Jay N.

    2010-01-01

    Longitudinal neuroimaging studies demonstrate that the adolescent brain continues to mature well into the 20s. This has prompted intense interest in linking neuromaturation to maturity of judgment. Public policy is struggling to keep up with burgeoning interest in cognitive neuroscience and neuroimaging. However, empirical evidence linking neurodevelopmental processes and adolescent real-world behavior remains sparse. Nonetheless, adolescent brain development research is already shaping public policy debates about when individuals should be considered mature for policy purposes. With this in mind, in this article we summarize what is known about adolescent brain development and what remains unknown, as well as what neuroscience can and cannot tell us about the adolescent brain and behavior. We suggest that a conceptual framework that situates brain science in the broader context of adolescent developmental research would help to facilitate research-to-policy translation. Furthermore, although contemporary discussions of adolescent maturity and the brain often use a deficit-based approach, there is enormous opportunity for brain science to illuminate the great strengths and potentialities of the adolescent brain. So, too, can this information inform policies that promote adolescent health and well-being. PMID:19699416

  9. Comparative International Education: Institutions of Higher Education in Poland and Canadian Universities: A Comparison Using an Information Technology Conceptual Framework

    ERIC Educational Resources Information Center

    Butler, Norman L.; Davidson, Barry S.; Griffith, Kimberly Grantham; Kritsonis, William Allan; Pachocinski, Ryszard; Herrington, David E.

    2007-01-01

    The purpose of this article is to compare institutions of higher learning in Poland and universities in Canada using an information technology conceptual framework consisting of three parts: participation, feedback and partnership. (Contains 15 notes.)

  10. The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience

    PubMed Central

    Poldrack, Russell A.; Kittur, Aniket; Kalar, Donald; Miller, Eric; Seppa, Christian; Gil, Yolanda; Parker, D. Stott; Sabb, Fred W.; Bilder, Robert M.

    2011-01-01

    Cognitive neuroscience aims to map mental processes onto brain function, which begs the question of what “mental processes” exist and how they relate to the tasks that are used to manipulate and measure them. This topic has been addressed informally in prior work, but we propose that cumulative progress in cognitive neuroscience requires a more systematic approach to representing the mental entities that are being mapped to brain function and the tasks used to manipulate and measure mental processes. We describe a new open collaborative project that aims to provide a knowledge base for cognitive neuroscience, called the Cognitive Atlas (accessible online at http://www.cognitiveatlas.org), and outline how this project has the potential to drive novel discoveries about both mind and brain. PMID:21922006

  11. Optimising, generalising and integrating educational practice using neuroscience

    NASA Astrophysics Data System (ADS)

    Colvin, Robert

    2016-07-01

    Practical collaboration at the intersection of education and neuroscience research is difficult because the combined discipline encompasses both the activity of microscopic neurons and the complex social interactions of teachers and students in a classroom. Taking a pragmatic view, this paper discusses three education objectives to which neuroscience can be effectively applied: optimising, generalising and integrating instructional techniques. These objectives are characterised by: (1) being of practical importance; (2) building on existing education and cognitive research; and (3) being infeasible to address based on behavioural experiments alone. The focus of the neuroscientific aspect of collaborative research should be on the activity of the brain before, during and after learning a task, as opposed to performance of a task. The objectives are informed by literature that highlights possible pitfalls with educational neuroscience research, and are described with respect to the static and dynamic aspects of brain physiology that can be measured by current technology.

  12. Information Theoric Framework for the Earthquake Recurrence Models : Methodica Firma Per Terra Non-Firma

    SciTech Connect

    Esmer, Oezcan

    2006-11-29

    This paper first evaluates the earthquake prediction method (1999 ) used by US Geological Survey as the lead example and reviews also the recent models. Secondly, points out the ongoing debate on the predictability of earthquake recurrences and lists the main claims of both sides. The traditional methods and the 'frequentist' approach used in determining the earthquake probabilities cannot end the complaints that the earthquakes are unpredictable. It is argued that the prevailing 'crisis' in seismic research corresponds to the Pre-Maxent Age of the current situation. The period of Kuhnian 'Crisis' should give rise to a new paradigm based on the Information-Theoric framework including the inverse problem, Maxent and Bayesian methods. Paper aims to show that the information- theoric methods shall provide the required 'Methodica Firma' for the earthquake prediction models.

  13. A Neuroscience Perspective on Learning

    ERIC Educational Resources Information Center

    Sloan, Dendy; Norrgran, Cynthia

    2016-01-01

    We briefly discuss memory types and three modern principles of neuroscience: 1) Protein growth at the synapse, 2) the three-brain theory, and 3) the interplay of the hippocampus, the neocortex, and the prefrontal cortex. To illustrate the potential of this perspective, four applications of these principles are provided.

  14. Neuroscience, Education and Mental Health

    ERIC Educational Resources Information Center

    Arboccó de los Heros, Manuel

    2016-01-01

    The following article presents a series of investigations, reflections, and quotes about neuroscience, education, and psychology. Each area is specialized in some matters but at some point they share territory and mutually benefit one another, and help us to increasingly understand the complex world of learning, the brain, and human behavior. We…

  15. The Future of Educational Neuroscience

    ERIC Educational Resources Information Center

    Fischer, Kurt W.; Goswami, Usha; Geake, John

    2010-01-01

    The primary goal of the emerging field of educational neuroscience and the broader movement called Mind, Brain, and Education is to join biology with cognitive science, development, and education so that education can be grounded more solidly in research on learning and teaching. To avoid misdirection, the growing worldwide movement needs to avoid…

  16. Brain Matters: Neuroscience and Creativity

    ERIC Educational Resources Information Center

    Blevins, Dean G.

    2012-01-01

    This article introduces a relationship between neuroscience and creativity for the sake of religious education. Citing creativity as a process that involves both originality and value, the writing articulates Howard Gardner's interplay between the talent of the person, the internal demands of a discipline, and the quality judgment of the field.…

  17. The complex business of neuroscience.

    PubMed

    Haugh, Richard

    2002-11-01

    It's a clinical line that usually takes a back seat to higher-profile services like cardiology, oncology and orthopedics. But hospitals are starting to pay more attention to neuroscience for a number of reasons, including its tertiary nature and the high volume of imaging studies involved. More importantly, it usually generates a profit.

  18. Does Neuroscience Matter for Education?

    ERIC Educational Resources Information Center

    Schrag, Francis

    2011-01-01

    In this review essay, Francis Schrag focuses on two recent anthologies dealing completely or in part with the role of neuroscience in learning and education: The "Jossey-Bass Reader on the Brain and Learning", edited by Jossey-Bass Publishers, and "New Philosophies of Learning", edited by Ruth Cigman and Andrew Davis. Schrag argues that…

  19. Neuroscience, Education and Special Education

    ERIC Educational Resources Information Center

    Goswami, Usha

    2004-01-01

    The discipline of neuroscience draws from the fields of neurology, psychology, physiology and biology, but is best understood in the wider world as brain science. Of particular interest for education is the development of techniques for imaging the brain as it performs different cognitive functions. Cognitive neuroimaging has already led to…

  20. Revolutions in Neuroscience: Tool Development

    PubMed Central

    Bickle, John

    2016-01-01

    Thomas Kuhn’s famous model of the components and dynamics of scientific revolutions is still dominant to this day across science, philosophy, and history. The guiding philosophical theme of this article is that, concerning actual revolutions in neuroscience over the past 60 years, Kuhn’s account is wrong. There have been revolutions, and new ones are brewing, but they do not turn on competing paradigms, anomalies, or the like. Instead, they turn exclusively on the development of new experimental tools. I adopt a metascientific approach and examine in detail the development of two recent neuroscience revolutions: the impact of engineered genetically mutated mammals in the search for causal mechanisms of “higher” cognitive functions; and the more recent impact of optogenetics and designer receptors exclusively activated by designer drugs (DREADDs). The two key metascientific concepts, I derive from these case studies are a revolutionary new tool’s motivating problem, and its initial and second-phase hook experiments. These concepts hardly exhaust a detailed metascience of tool development experiments in neuroscience, but they get that project off to a useful start and distinguish the subsequent account of neuroscience revolutions clearly from Kuhn’s famous model. I close with a brief remark about the general importance of molecular biology for a current philosophical understanding of science, as comparable to the place physics occupied when Kuhn formulated his famous theory of scientific revolutions. PMID:27013992

  1. A behavioral framework for capturing emotional information in an internet of things environment

    NASA Astrophysics Data System (ADS)

    Luis-Ferreira, Fernando; Jardim-Goncalves, Ricardo

    2013-10-01

    Life in modern societies implies a close relationship with many types of devices. The diversity of such devices has impact in diverse areas of our life as some provide support for management tasks, others just provide information, and most of them follow us anywhere and anytime. The more widespread example is mobile phones, but others also follow us, like our music devices or even our car with many electronic systems. In a recent past a phone was something to talk with others and a car was just a vehicle, with an engine, to allow displacement of people and goods. A phone would support voice conversation and a car had the equipment needed to take us to some destination. But these days all those devices and vehicles have computer equipment and some include complex functions and sensory abilities. We cannot question how useful those devices are for every day's activities but it is questionable how those devices respect our nature and address our needs of perceptive and emotive human beings. How far can those devices retrieve information about our nature, and our feelings, and what kind of information and reasoning those devices can provide to users? The proposed framework, by capturing and managing sensorial and physiological information, will feed information that enable the reasoning of emotional knowledge in an IoT environment.

  2. A new framework for modeling decisions about changing information: The Piecewise Linear Ballistic Accumulator model

    PubMed Central

    Heathcote, Andrew

    2016-01-01

    In the real world, decision making processes must be able to integrate non-stationary information that changes systematically while the decision is in progress. Although theories of decision making have traditionally been applied to paradigms with stationary information, non-stationary stimuli are now of increasing theoretical interest. We use a random-dot motion paradigm along with cognitive modeling to investigate how the decision process is updated when a stimulus changes. Participants viewed a cloud of moving dots, where the motion switched directions midway through some trials, and were asked to determine the direction of motion. Behavioral results revealed a strong delay effect: after presentation of the initial motion direction there is a substantial time delay before the changed motion information is integrated into the decision process. To further investigate the underlying changes in the decision process, we developed a Piecewise Linear Ballistic Accumulator model (PLBA). The PLBA is efficient to simulate, enabling it to be fit to participant choice and response-time distribution data in a hierarchal modeling framework using a non-parametric approximate Bayesian algorithm. Consistent with behavioral results, PLBA fits confirmed the presence of a long delay between presentation and integration of new stimulus information, but did not support increased response caution in reaction to the change. We also found the decision process was not veridical, as symmetric stimulus change had an asymmetric effect on the rate of evidence accumulation. Thus, the perceptual decision process was slow to react to, and underestimated, new contrary motion information. PMID:26760448

  3. Proteomics of multiprotein complexes: answering fundamental questions in neuroscience.

    PubMed

    Grant, S G; Husi, H

    2001-10-01

    Proteomics tools offer new ways to analyse networks of proteins that control important neurobiological phenomena such as learning and memory. In this review, we discuss how a combined proteomic, pharmacological and genetic approach reveals that multiprotein complexes process neural information and encode memories. Simultaneous analysis of multiple proteins enables the development of new concepts and approaches for neuroscience research.

  4. The RAVE-O Intervention: Connecting Neuroscience to the Classroom

    ERIC Educational Resources Information Center

    Wolf, Maryanne; Barzillai, Mirit; Gottwald, Stephanie; Miller, Lynne; Spencer, Kathleen; Norton, Elizabeth; Lovett, Maureen; Morris, Robin

    2009-01-01

    This article explores the ways in which knowledge from the cognitive neurosciences, linguistics, and education interact to deepen our understanding of reading's complexity and to inform reading intervention. We first describe how research on brain abnormalities and naming speed processes has shaped both our conceptualization of reading…

  5. Expressive Therapy with Severely Maltreated Children: Neuroscience Contributions

    ERIC Educational Resources Information Center

    Klorer, P. Gussie

    2005-01-01

    Recent developments in neuroscience provide important information for therapists working with maltreated children. Severe maltreatment and lack of significant attachment figures in the crucial early years lead to adverse brain development (De Bellis, 2001). It appears evident that traumatic memories are stored in the right hemisphere, making…

  6. Implementation is crucial but must be neurobiologically grounded. Comment on “Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition” by W. Tecumseh Fitch

    NASA Astrophysics Data System (ADS)

    Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias; Small, Steven L.

    2014-09-01

    From the perspective of language, Fitch's [1] claim that theories of cognitive computation should not be separated from those of implementation surely deserves applauding. Recent developments in the Cognitive Neuroscience of Language, leading to the new field of the Neurobiology of Language [2-4], emphasise precisely this point: rather than attempting to simply map cognitive theories of language onto the brain, we should aspire to understand how the brain implements language. This perspective resonates with many of the points raised by Fitch in his review, such as the discussion of unhelpful dichotomies (e.g., Nature versus Nurture). Cognitive dichotomies and debates have repeatedly turned out to be of limited usefulness when it comes to understanding language in the brain. The famous modularity-versus-interactivity and dual route-versus-connectionist debates are cases in point: in spite of hundreds of experiments using neuroimaging (or other techniques), or the construction of myriad computer models, little progress has been made in their resolution. This suggests that dichotomies proposed at a purely cognitive (or computational) level without consideration of biological grounding appear to be "asking the wrong questions" about the neurobiology of language. In accordance with these developments, several recent proposals explicitly consider neurobiological constraints while seeking to explain language processing at a cognitive level (e.g. [5-7]).

  7. A Social Neuroscience Perspective on Adolescent Risk-Taking

    PubMed Central

    Steinberg, Laurence

    2007-01-01

    This article proposes a framework for theory and research on risk-taking that is informed by developmental neuroscience. Two fundamental questions motivate this review. First, why does risk-taking increase between childhood and adolescence? Second, why does risk-taking decline between adolescence and adulthood? Risk-taking increases between childhood and adolescence as a result of changes around the time of puberty in the brain’s socio-emotional system leading to increased reward-seeking, especially in the presence of peers, fueled mainly by a dramatic remodeling of the brain’s dopaminergic system. Risk-taking declines between adolescence and adulthood because of changes in the brain’s cognitive control system – changes which improve individuals’ capacity for self-regulation. These changes occur across adolescence and young adulthood and are seen in structural and functional changes within the prefrontal cortex and its connections to other brain regions. The differing timetables of these changes make mid-adolescence a time of heightened vulnerability to risky and reckless behavior. PMID:18509515

  8. A product lifecycle management framework to support the exchange of prototyping and testing information

    NASA Astrophysics Data System (ADS)

    Toche Fumchum, Luc Boris

    2011-12-01

    The modern perspective on product life cycle and the rapid evolution of Information and Communication Technologies in general have opened a new era in product representation and product information sharing between participants, both inside and outside the enterprise and throughout the product life. In particular, the Product Development Process relies on cross-functional activities involving different domains of expertise that each have their own dedicated tools. This has generated new challenges in terms of collaboration and dissemination of information at large between companies or even within the same organization. Within this context, the work reported herein focuses on a specific stakeholder within product development activities - the prototyping and testing department. Its business is typically related to the planning and building of prototypes in order to perform specific tests on the future product or one of its sub-assemblies. The research project aims at investigating an appropriate framework that leverages configured engineering product information, based on complementary information structures, to share and exchange prototyping and testing information in a Product Lifecycle Management (PLM) perspective. As a first step, a case study based on the retrofit of an aircraft engine is deployed to implement a scenario demonstrating the functionalities to be available within the intended framework. For this purpose, complementary and configurable structures are simulated within the project's PLM system. In a second step are considered the software interoperability issues that don't only affect Design -- Testing interactions, but many other interfaces within either the company -- due to the silo-arrangement -- or the consortiums with partners, in which case the whole PLM platforms could simply be incompatible. A study based on an open source initiative and relying on an improved model of communication is described to show how two natively disparate PLM tools can

  9. Selective 4D modelling framework for spatial-temporal land information management system

    NASA Astrophysics Data System (ADS)

    Doulamis, Anastasios; Soile, Sofia; Doulamis, Nikolaos; Chrisouli, Christina; Grammalidis, Nikos; Dimitropoulos, Kosmas; Manesis, Charalambos; Potsiou, Chryssy; Ioannidis, Charalabos

    2015-06-01

    This paper introduces a predictive (selective) 4D modelling framework where only the spatial 3D differences are modelled at the forthcoming time instances, while regions of no significant spatial-temporal alterations remain intact. To accomplish this, initially spatial-temporal analysis is applied between 3D digital models captured at different time instances. So, the creation of dynamic change history maps is made. Change history maps indicate spatial probabilities of regions needed further 3D modelling at forthcoming instances. Thus, change history maps are good examples for a predictive assessment, that is, to localize surfaces within the objects where a high accuracy reconstruction process needs to be activated at the forthcoming time instances. The proposed 4D Land Information Management System (LIMS) is implemented using open interoperable standards based on the CityGML framework. CityGML allows the description of the semantic metadata information and the rights of the land resources. Visualization aspects are also supported to allow easy manipulation, interaction and representation of the 4D LIMS digital parcels and the respective semantic information. The open source 3DCityDB incorporating a PostgreSQL geo-database is used to manage and manipulate 3D data and their semantics. An application is made to detect the change through time of a 3D block of plots in an urban area of Athens, Greece. Starting with an accurate 3D model of the buildings in 1983, a change history map is created using automated dense image matching on aerial photos of 2010. For both time instances meshes are created and through their comparison the changes are detected.

  10. A Framework for Preliminary Design of Aircraft Structures Based on Process Information. Part 1

    NASA Technical Reports Server (NTRS)

    Rais-Rohani, Masoud

    1998-01-01

    This report discusses the general framework and development of a computational tool for preliminary design of aircraft structures based on process information. The described methodology is suitable for multidisciplinary design optimization (MDO) activities associated with integrated product and process development (IPPD). The framework consists of three parts: (1) product and process definitions; (2) engineering synthesis, and (3) optimization. The product and process definitions are part of input information provided by the design team. The backbone of the system is its ability to analyze a given structural design for performance as well as manufacturability and cost assessment. The system uses a database on material systems and manufacturing processes. Based on the identified set of design variables and an objective function, the system is capable of performing optimization subject to manufacturability, cost, and performance constraints. The accuracy of the manufacturability measures and cost models discussed here depend largely on the available data on specific methods of manufacture and assembly and associated labor requirements. As such, our focus in this research has been on the methodology itself and not so much on its accurate implementation in an industrial setting. A three-tier approach is presented for an IPPD-MDO based design of aircraft structures. The variable-complexity cost estimation methodology and an approach for integrating manufacturing cost assessment into design process are also discussed. This report is presented in two parts. In the first part, the design methodology is presented, and the computational design tool is described. In the second part, a prototype model of the preliminary design Tool for Aircraft Structures based on Process Information (TASPI) is described. Part two also contains an example problem that applies the methodology described here for evaluation of six different design concepts for a wing spar.

  11. The Coordinated Regional Downscaling Experiment (CORDEX): A Framework for Mitigation and Adaptation Information (Invited)

    NASA Astrophysics Data System (ADS)

    Gutowski, W. J.; Wcrp Task Force On Regional Climate Downscaling

    2010-12-01

    The Coordinated Regional Downscaling Experiment (CORDEX) is a program developed by the Task Force on Regional Climate Downscaling of World Climate Research Programme (WCRP). The Task Force’s mandate is to develop a framework to evaluate regional climate downscaling techniques; foster an international coordinated effort to develop improved downscaling techniques and to provide feedback to the global modeling community; and promote greater interactions between global climate modelers, downscalers and end-users. Within this mandate, the primary goal of CORDEX is to extend to a global framework the lessons learned from regional climate downscaling programs focused on one continent. The framework includes statistical downscaling as well as regional climate models (RCMs), with an aim of evaluating the strengths and weaknesses of downscaled climate information. CORDEX also provides coordination among existing and emerging downscaling programs around the world. This talk will emphasize the statistical downscaling component of CORDEX. CORDEX has defined a set of target regions covering most land areas of the planet. A primary region of emphasis is Africa, which has received less attention than most other continents in regional climate-change and climate-impacts research. Baseline downscaling efforts by statistical downscaling and RCMs have started, focusing on the period covered by the ERA-Interim Reanalysis: 1987-2007. Future work will include downscaling GCM output for extended periods in the twentieth and twenty-first centuries, where future projections will be based on Representative Concentration Pathway (RCP) greenhouse gas and aerosol scenarios, specifically RCP 4.5 and RCP 8.5. CORDEX has established a preliminary set of archival protocols and targeted variables for output that will be stored in a central, openly accessible repository. Although CORDEX intends to produce simulations and analyses for the IPCC Fifth Assessment Report, the WCRP Task Force views CORDEX

  12. A risk-informed decision framework for setting environmental windows for dredging projects.

    PubMed

    Suedel, Burton C; Kim, Jongbum; Clarke, Douglas G; Linkov, Igor

    2008-09-15

    Sediment dredging is necessary to sustain navigation infrastructure in ports and harbor areas. In the United States alone between 250 and 300 million cubic yards of sediment are dredged annually. Dredging activities may cause stress on aquatic biota by locally increasing turbidity and suspended sediment concentrations, physically disturbing habitat by elevated sedimentation rates, interfering in migratory behaviors, and hydraulically entraining bottom dwelling organisms. Environmental windows are a management practice used to alleviate such stresses on resident and transient biota by placing temporal restrictions on the conduct of dredging operations. Adherence to environmental windows can significantly inflate costs for project sponsors and local stakeholders. Since their inception following passage of NEPA in 1969 the process for setting environmental windows has not followed structured procedures and represents an example of the difficulty inherent in achieving a balance between biological resource protection and cost-effective construction and maintenance of navigation infrastructure. Recent developments in the fields of risk assessment for non-chemical stressors as well as experience in implementing structured risk-informed decision-making tools for sediment and natural resource management are summarized in this paper in relation to setting environmental windows. Combining risk assessment and multi-criteria decision analysis allows development of a framework for an objective process consistent with recommendations by the National Academy of Sciences for setting environmental windows. A hypothetical application of the framework for protection of Pacific herring (Clupea pallasii) in San Francisco Bay is discussed.

  13. Integrated Framework for Information Security in Mobile Banking Service Based on Smart Phone

    NASA Astrophysics Data System (ADS)

    Shin, Yong-Nyuo; Chun, Myung Geun

    Since Apple launched the iPhone service in November 2009 in Korea, smartphone banking users are increasing dramatically, forcing lenders to develop new products to deal with such demand. The bank of korea took the lead in jointing together to create a mobile banking application that each bank can adapt for its own use. In providing smartphone services, it is of critical importance to take the proper security measures, because these services, while offering excellent mobility and convenience, can be easily exposed to various infringement threats. This paper proposes a security framework that should be taken into account by the joint smartphone-based mobile banking development project. The purpose of this paper lies in recognizing the value of smartphones as well as the security threats that are exposed when smartphones are introduced, and provides countermeasures against those threats, so that an integrated information security framework for reliable smartphone-based mobile financial services can be prepared, by explicitly presenting the difference between personal computers and smartphones from the perspective of security.

  14. A dynamical framework to relate perceptual variability with multisensory information processing

    PubMed Central

    Thakur, Bhumika; Mukherjee, Abhishek; Sen, Abhijit; Banerjee, Arpan

    2016-01-01

    Multisensory processing involves participation of individual sensory streams, e.g., vision, audition to facilitate perception of environmental stimuli. An experimental realization of the underlying complexity is captured by the “McGurk-effect”- incongruent auditory and visual vocalization stimuli eliciting perception of illusory speech sounds. Further studies have established that time-delay between onset of auditory and visual signals (AV lag) and perturbations in the unisensory streams are key variables that modulate perception. However, as of now only few quantitative theoretical frameworks have been proposed to understand the interplay among these psychophysical variables or the neural systems level interactions that govern perceptual variability. Here, we propose a dynamic systems model consisting of the basic ingredients of any multisensory processing, two unisensory and one multisensory sub-system (nodes) as reported by several researchers. The nodes are connected such that biophysically inspired coupling parameters and time delays become key parameters of this network. We observed that zero AV lag results in maximum synchronization of constituent nodes and the degree of synchronization decreases when we have non-zero lags. The attractor states of this network can thus be interpreted as the facilitator for stabilizing specific perceptual experience. Thereby, the dynamic model presents a quantitative framework for understanding multisensory information processing. PMID:27502974

  15. A framework for landfill site selection using geographic information systems and multi criteria decision making technique

    NASA Astrophysics Data System (ADS)

    Mat, Nur Azriati; Benjamin, Aida Mauziah; Abdul-Rahman, Syariza; Wibowo, Antoni

    2016-10-01

    The solid waste disposal is one of the facilities which can cause harm to human health and also contribute to severe environmental pollution if it is not properly managed. Therefore, an effective decision on a landfill site selection in order to identify the most suitable area as a new landfill is very important. Since 25 years ago, the integration of geographic information systems (GIS) and multi criteria decision analysis (MCDA) has drawn significant interest among researchers. This integrated technique is commonly used for land use planning and selecting a new landfill site is one of the plan. This paper proposes a framework of landfill site selection with a consideration of resource requirement. This framework is developed by using the integration of GIS and MCDA to identify an appropriate location for landfill siting. A list of selection criteria obtained from the literature considered in selecting the best landfill site is also presented. The results of this study could later be used to help the waste management team in developing an efficient solid waste management system.

  16. The Psychology and Neuroscience of Curiosity.

    PubMed

    Kidd, Celeste; Hayden, Benjamin Y

    2015-11-04

    Curiosity is a basic element of our cognition, but its biological function, mechanisms, and neural underpinning remain poorly understood. It is nonetheless a motivator for learning, influential in decision-making, and crucial for healthy development. One factor limiting our understanding of it is the lack of a widely agreed upon delineation of what is and is not curiosity. Another factor is the dearth of standardized laboratory tasks that manipulate curiosity in the lab. Despite these barriers, recent years have seen a major growth of interest in both the neuroscience and psychology of curiosity. In this Perspective, we advocate for the importance of the field, provide a selective overview of its current state, and describe tasks that are used to study curiosity and information-seeking. We propose that, rather than worry about defining curiosity, it is more helpful to consider the motivations for information-seeking behavior and to study it in its ethological context.

  17. The psychology and neuroscience of curiosity

    PubMed Central

    Kidd, Celeste; Hayden, Benjamin Y.

    2015-01-01

    SUMMARY Curiosity is a basic element of our cognition, yet its biological function, mechanisms, and neural underpinning remain poorly understood. It is nonetheless a motivator for learning, influential in decision-making, and crucial for healthy development. One factor limiting our understanding of it is the lack of a widely agreed upon delineation of what is and is not curiosity; another factor is the dearth of standardized laboratory tasks that manipulate curiosity in the lab. Despite these barriers, recent years have seen a major growth of interest in both the neuroscience and psychology of curiosity. In this Perspective, we advocate for the importance of the field, provide a selective overview of its current state, and describe tasks that are used to study curiosity and information-seeking. We propose that, rather than worry about defining curiosity, it is more helpful to consider the motivations for information-seeking behavior and to study it in its ethological context. PMID:26539887

  18. Elder abuse and neglect in African American families: informing practice based on ecological and cultural frameworks.

    PubMed

    Horsford, Sheena R; Parra-Cardona, José Rubén; Schiamberg, Larry; Post, Lori A

    2011-01-01

    Despite the rapid growth of the elderly African American population in the U.S., elder abuse and neglect in African American families continue to be underdeveloped areas of study. This article presents an ecological and culturally informed framework for the study of elder abuse in African American populations. The model was developed based on Bronfenbrenner's Human Ecological Theory. The model identifies risk factors associated with different systems that have an influence on the lives of African American families. Cultural protective factors also are identified in the model. The model is intended to provide an understanding of elder abuse and neglect in African American families by considering the influence of contextual factors such as the legacy of slavery, social exclusion, and structural segregation and racism. Specific suggestions for practice are proposed according to cultural strengths of African American communities as well as the ecological premises of the model.

  19. Policy, systems, and environmental approaches for obesity prevention: a framework to inform local and state action.

    PubMed

    Lyn, Rodney; Aytur, Semra; Davis, Tobey A; Eyler, Amy A; Evenson, Kelly R; Chriqui, Jamie F; Cradock, Angie L; Goins, Karin Valentine; Litt, Jill; Brownson, Ross C

    2013-01-01

    The public health literature has not fully explored the complexities of the policy process as they relate to public health practice and obesity prevention. We conducted a review of the literature across the policy science and public health fields, distilled key theories of policy making, and developed a framework to inform policy, systems, and environmental change efforts on obesity prevention. Beginning with a conceptual description, we focus on understanding three domains of the policy process: the problem domain, the policy domain, and the political domain. We identify key activities in the policy process including the following: (a) assessing the social and political environment; (b) engaging, educating and collaborating with key individuals and groups; (c) identifying and framing the problem; (d) utilizing available evidence; (e) identifying policy solutions; and (f) building public support and political will. The article provides policy change resources and case studies to guide and support local and state efforts around obesity prevention.

  20. What constitutes the field of health information systems? Fostering a systematic framework and research agenda.

    PubMed

    Mettler, Tobias; Raptis, Dimitri Aristotle

    2012-06-01

    The main aim of this article is to present a research agenda and systematic framework of what the field of health information systems is about, namely its central topics and connecting areas. In doing so, we try to provide a cohesive 'big picture' for academics and professionals that are interested in conducting research in this broad area. By using a large number of disparate data sources, we identified 3 major research fields and 18 sub-fields. As this discipline is quite new and heterogeneous in terms of themes and the educational backgrounds of its researchers, we see our conceptualisation as a first step in obtaining a collective understanding of this field, as well as being a common starting point for discussing future directions.

  1. Benjamin Franklin and the neurosciences.

    PubMed

    Finger, Stanley

    2006-01-01

    Benjamin Franklin (1706-1790), who is better known in other fields, especially colonial politics and international diplomacy, was an early, major contributor to the neurosciences from the New World. Among his accomplishments are: experiments on medical electricity as a possible cure for the palsies and hysteria; the first descriptions of how electricity affecting the brain can cause a specific type of amnesia; supporting the idea that cranial shocks might provide a cure for melancholia; showing that the cures performed by the Mesmerists to remove obstructions, including nerve blockages, rest on gullibility and suggestion, and recognizing the dangers, including those to the nerves, posed by exposure to lead. Franklin?s neuroscience was firmly based on experiments, careful observations, and hard data ? and finding clinical relevance for new discoveries was always on his mind.

  2. Neuroscience thinks big (and collaboratively).

    PubMed

    Kandel, Eric R; Markram, Henry; Matthews, Paul M; Yuste, Rafael; Koch, Christof

    2013-09-01

    Despite cash-strapped times for research, several ambitious collaborative neuroscience projects have attracted large amounts of funding and media attention. In Europe, the Human Brain Project aims to develop a large-scale computer simulation of the brain, whereas in the United States, the Brain Activity Map is working towards establishing a functional connectome of the entire brain, and the Allen Institute for Brain Science has embarked upon a 10-year project to understand the mouse visual cortex (the MindScope project). US President Barack Obama's announcement of the BRAIN Initiative (Brain Research through Advancing Innovative Neurotechnologies Initiative) in April 2013 highlights the political commitment to neuroscience and is expected to further foster interdisciplinary collaborations, accelerate the development of new technologies and thus fuel much needed medical advances. In this Viewpoint article, five prominent neuroscientists explain the aims of the projects and how they are addressing some of the questions (and criticisms) that have arisen.

  3. The Neuroscience of Consumer Choice

    PubMed Central

    Hsu, Ming; Yoon, Carolyn

    2015-01-01

    We review progress and challenges relating to scientific and applied goals of the nascent field of consumer neuroscience. Scientifically, substantial progress has been made in understanding the neurobiology of choice processes. Further advances, however, require researchers to begin clarifying the set of developmental and cognitive processes that shape and constrain choices. First, despite the centrality of preferences in theories of consumer choice, we still know little about where preferences come from and the underlying developmental processes. Second, the role of attention and memory processes in consumer choice remains poorly understood, despite importance ascribed to them in interpreting data from the field. The applied goal of consumer neuroscience concerns our ability to translate this understanding to augment prediction at the population level. Although the use of neuroscientific data for market-level predictions remains speculative, there is growing evidence of superiority in specific cases over existing market research techniques. PMID:26665152

  4. Neuroscience: viable applications in education?

    PubMed

    Devonshire, Ian M; Dommett, Eleanor J

    2010-08-01

    As a relatively young science, neuroscience is still finding its feet in potential collaborations with other disciplines. One such discipline is education, with the field of neuroeducation being on the horizon since the 1960s. However, although its achievements are now growing, the partnership has not been as successful as first hopes suggested it should be. Here the authors discuss the theoretical barriers and potential solutions to this, which have been suggested previously, with particular focus on levels of research in neuroscience and their applicability to education. Moreover, they propose that these theoretical barriers are driven and maintained by practical barriers surrounding common language and research literacy. They propose that by overcoming these practical barriers through appropriate training and shared experience, neuroeducation can reach its full potential.

  5. Nanotechnology for in vitro neuroscience

    NASA Astrophysics Data System (ADS)

    Cooper, Daniel R.; Nadeau, Jay L.

    2009-11-01

    Neurons in vitro are different from any other cell types in their sensitivity and complexity. Growing, differentiating, transfecting, and recording from single neurons and neuronal networks all present particular challenges. Some of the difficulties arise from the small scale of cellular structures, and have already seen substantial advances due to nanotechnology, particularly highly fluorescent semiconductor nanoparticles. Other issues have less obvious solutions, but the complex and often surprising way that novel nanomaterials react with cells have suggested some revolutionary approaches. We review some of the ways nanomaterials and nanostructures can contribute to in vitro neuroscience, with a particular focus on emphasizing techniques that are widely accessible to many laboratories and on providing references to protocols and methods. The issues of nanotoxicology of greatest interest to cultured neurons are discussed. Finally, we present some future trends and challenges in nano-neuroscience.

  6. The Role of Anxiety in Seeking and Retaining Risk Information: Testing the Risk Perception Attitude Framework in Two Studies

    ERIC Educational Resources Information Center

    Turner, Monique Mitchell; Rimal, Rajiv N.; Morrison, Daniel; Kim, Hyojin

    2006-01-01

    Despite the importance of health information seeking, not all people engage in such behaviors, especially when thinking about the disease is distressing. The focus of this paper is to examine the antecedents of information seeking and retention. Based on individuals' risk perception and efficacy beliefs, the risk perception attitude framework is…

  7. Polish Post-Secondary Vocational Institutions and Canadian Community Colleges: A Comparison Using an Information Technology Conceptual Framework

    ERIC Educational Resources Information Center

    Butler, Norman L.; Pachocinski, Ryszard; Davidson, Barry S.

    2006-01-01

    The aim of this study was to compare Polish post-secondary vocational institutions with Canadian community colleges using an information technology theoretical framework consisting of three parts: participation, feedback and partnership. The research concentrated upon programs in nursing, tourism and information technology delivered by the three…

  8. The Software Support Qualitative Assessment Methodology. Volume 2. The Review of Metrics for Developing an Information Systems Support Measurement Framework

    DTIC Science & Technology

    1991-03-02

    an Information Systems Support Measurement (UNCLASSIFIED) Framework 12. PERSONAL AUTHOR(S) W. Michael McCracken, Elizabeth Mynatt , Christopher Smith... Mynatt , Christopher Smith Software Engineering Research Center Georgia Institute of Technology December 1990 I I The Software Supportability... Mynatt Center for Information Management Research Georgia Institute of Technology Atlanta, GA 30332-0280 1. Introduction A major contributor to the life

  9. The neuroscience of psychological treatments.

    PubMed

    Barlow, David H

    2014-11-01

    The series of articles in this issue of Behavior Research and Therapy presages a new field of translational research that could be called "the neuroscience of psychological treatments". After a brief retrospective on the origins and promise of this focus of study several cautions are adumbrated. As in any new field of scientific endeavor, close collaboration among stakeholders with interest in this field and the integration of a healthy scientific skepticism will best ensure the continued development of ever more powerful psychological treatments.

  10. [Neuroethics: ethical issues in neurosciences].

    PubMed

    Crozier, Sophie

    2013-05-01

    Neuroethics is a field of bioethics on the ethical challenges of advances in neuroscience. Born in the early 2000s, neuroethics is considering a number of issues raised by the opportunities created by advances in knowledge and techniques in the field of neurology and psychiatry. In fact, what we learn about brain functions allows us to potentially influence our behavior and our actions, and questions human nature, freedom and individual responsibility, and even the place of morality in our society.

  11. Neural networks and neuroscience-inspired computer vision.

    PubMed

    Cox, David Daniel; Dean, Thomas

    2014-09-22

    Brains are, at a fundamental level, biological computing machines. They transform a torrent of complex and ambiguous sensory information into coherent thought and action, allowing an organism to perceive and model its environment, synthesize and make decisions from disparate streams of information, and adapt to a changing environment. Against this backdrop, it is perhaps not surprising that computer science, the science of building artificial computational systems, has long looked to biology for inspiration. However, while the opportunities for cross-pollination between neuroscience and computer science are great, the road to achieving brain-like algorithms has been long and rocky. Here, we review the historical connections between neuroscience and computer science, and we look forward to a new era of potential collaboration, enabled by recent rapid advances in both biologically-inspired computer vision and in experimental neuroscience methods. In particular, we explore where neuroscience-inspired algorithms have succeeded, where they still fail, and we identify areas where deeper connections are likely to be fruitful.

  12. NSDF: Neuroscience Simulation Data Format.

    PubMed

    Ray, Subhasis; Chintaluri, Chaitanya; Bhalla, Upinder S; Wójcik, Daniel K

    2016-04-01

    Data interchange is emerging as an essential aspect of modern neuroscience. In the areas of computational neuroscience and systems biology there are multiple model definition formats, which have contributed strongly to the development of an ecosystem of simulation and analysis tools. Here we report the development of the Neuroscience Simulation Data Format (NSDF) which extends this ecosystem to the data generated in simulations. NSDF is designed to store simulator output across scales: from multiscale chemical and electrical signaling models, to detailed single-neuron and network models, to abstract neural nets. It is self-documenting, efficient, modular, and scalable, both in terms of novel data types and in terms of data volume. NSDF is simulator-independent, and can be used by a range of standalone analysis and visualization tools. It may also be used to store variety of experimental data. NSDF is based on the widely used HDF5 (Hierarchical Data Format 5) specification and is open, platform-independent, and portable.

  13. Distance informed Track-Weighted Imaging (diTWI): a framework for sensitising streamline information to neuropathology.

    PubMed

    Bell, Christopher; Pannek, Kerstin; Fay, Michael; Thomas, Paul; Bourgeat, Pierrick; Salvado, Olivier; Gal, Yaniv; Coulthard, Alan; Crozier, Stuart; Rose, Stephen

    2014-02-01

    Track-Weighted Imaging (TWI), where voxel intensity is based on image metrics encoded along streamline trajectories, provides a mechanism to study white matter disease. However, with generalised streamline weighting, it is difficult to localise the precise anatomical source and spread of injury or neuropathology. This limitation can be overcome by modulating the voxel weight based on the distance of the voxel from a given anatomical location along the tract, which we term diTWI: distance informed Track-Weighted Imaging. The location of known neuropathology can be delineated on any given imaging modality (e.g. MRI or PET). To demonstrate the clinical utility of this approach, we measured tumour cell infiltration along WM fibre tracts in 13 patients with newly diagnosed glioblastoma and 1 patient with Anaplastic Astrocytoma. TWI and diTWI maps were generated using information obtained from dynamic contrast enhanced MRI (area under the curve, AUC) and diffusivity maps (ADC and FA) with tumour boundaries automatically extracted using a logistic regression classifier. The accuracy of the derived tumour volumes was compared to those generated using 3,4-dihydroxy-6-[(18)F]-fluoro-l-phenylalanine (FDOPA) PET imaging. The accuracy of the tumour volumes generated from the diTWI maps was superior to volumes derived from the TWI, geometric distance or baseline AUC, FA and ADC maps. The relative overlap and relative dissimilarity rates for the diTWI generated tumour volumes after classification were found to be 82.3±15.3% (range 69.1-91.9) and 16.9±8.8% (range 7.9-37.5), respectively. These findings show that diTWI maps provide a useful framework for localising neuropathological processes occurring along WM pathways.

  14. Robust planning of sanitation services in urban informal settlements: An analytical framework.

    PubMed

    Schmitt, Rafael J P; Morgenroth, Eberhard; Larsen, Tove A

    2017-03-01

    New types of sanitation services are emerging to tackle the sanitation crisis in informal settlements. These services link toilet facilities to semi-decentralized treatment plants via frequent, road-based transport of excreta. However, information for the planning of such sanitation services is scarce, and their future operating conditions are highly uncertain. The key questions of this paper are therefore: a) what are the drivers behind success or failure of a service-based sanitation system in informal settlements and b) on what scales and under which conditions can such a system operate successfully? To answer these questions, already at an early stage of the planning process, we introduce a stochastic model to analyze a wide range of system designs under varying technical designs, socio-economic factors, and spatial condition. Based on these initial results, we design a sanitation service and use the numeric model to study its reliability and costs over a wide range of scales, i.e., system capacities, from very few to many hundred users per semi-decentralized treatment unit. Key findings are that such a system can only operate within a narrow, but realistic range of conditions. Key requirements are toilet facilities, which can be serviced rapidly, and a flexible workforce. A high density of facilities will also lower the costs. Under these premises, we develop a road-based sanitation service and model its functionality in different settings and under many scenarios. Results show that the developed sanitation system using a single vehicle is scalable (100-700 users), can provide reliable service, and can be cheap (<1.5 c/p/day). Hence, this paper demonstrates opportunities for road-based sanitation in informal settlements and presents a quantitative framework for designing such systems.

  15. Music evolution and neuroscience.

    PubMed

    Snowdon, Charles T; Zimmermann, Elke; Altenmüller, Eckart

    2015-01-01

    There have been many attempts to discuss the evolutionary origins of music. We review theories of music origins and take the perspective that music is originally derived from emotional signals. We show that music has adaptive value through emotional contagion, social cohesion, and improved well-being. We trace the roots of music through the emotional signals of other species suggesting that the emotional aspects of music have a long evolutionary history. We show how music and speech are closely interlinked with the musical aspects of speech conveying emotional information. We describe acoustic structures that communicate emotion in music and present evidence that these emotional features are widespread among humans and also function to induce emotions in animals. Similar acoustic structures are present in the emotional signals of nonhuman animals. We conclude with a discussion of music designed specifically to induce emotional states in animals.

  16. The neuroscience of race

    PubMed Central

    Kubota, Jennifer T; Banaji, Mahzarin R; Phelps, Elizabeth A

    2013-01-01

    As the racial composition of the population changes, intergroup interactions are increasingly common. To understand how we perceive and categorize race and the attitudes that flow from it, scientists have used brain imaging techniques to examine how social categories of race and ethnicity are processed, evaluated and incorporated in decision-making. We review these findings, focusing on black and white race categories. A network of interacting brain regions is important in the unintentional, implicit expression of racial attitudes and its control. On the basis of the overlap in the neural circuitry of race, emotion and decision-making, we speculate as to how this emerging research might inform how we recognize and respond to variations in race and its influence on unintended race-based attitudes and decisions. PMID:22735516

  17. An informational diversity framework, illustrated with sexually deceptive orchids in early stages of speciation.

    PubMed

    Smouse, Peter E; Whitehead, Michael R; Peakall, Rod

    2015-11-01

    Reconstructing evolutionary history for emerging species complexes is notoriously difficult, with newly isolated taxa often morphologically cryptic and the signature of reproductive isolation often restricted to a few genes. Evidence from multiple loci and genomes is highly desirable, but multiple inputs require 'common currency' translation. Here we deploy a Shannon information framework, converting into diversity analogue, which provides a common currency analysis for maternally inherited haploid and bi-parentally inherited diploid nuclear markers, and then extend that analysis to construction of minimum-spanning networks for both genomes. The new approach is illustrated with a quartet of cryptic congeners from the sexually deceptive Australian orchid genus Chiloglottis, still in the early stages of speciation. Divergence is more rapid for haploid plastids than for nuclear markers, consistent with the effective population size differential (N(ep) < (N(en)), but divergence patterns are broadly correlated for the two genomes. There are nevertheless intriguing discrepancies between the emerging plastid and nuclear signals of early phylogenetic radiation of these taxa, and neither pattern is entirely consistent with the available information on the sexual cues used by the orchids to lure the pollinators enforcing reproductive isolation. We describe possible extensions of this methodology to multiple ploidy levels and other types of markers, which should increase the range of application to any taxonomic assemblage in the very early stages of reproductive isolation and speciation.

  18. Communication in pediatric critical care: A proposal for an evidence-informed framework.

    PubMed

    Carnevale, Franco A; Farrell, Catherine; Cremer, Robin; Séguret, Sylvie; Canouï, Pierre; Leclerc, Francis; Lacroix, Jacques; Hubert, Philippe

    2016-03-01

    The aim of this investigation was to conduct a comprehensive examination of communication between parents and health care professionals (HCPs) in the pediatric intensive care unit (PICU). A secondary analysis was performed on data from 3 previous qualitative studies, which included 30 physicians, 37 nurses, and 38 parents in France and Quebec (Canada). All three studies examined a mix of cases where children either survived or died. All data referring to communication between parents (and patients when applicable) and HCPs were examined to identity themes that related to communication. Thematic categories for parents and HCPs were developed. Three interrelated dimensions of communication were identified: (1) informational communication, (2) relational communication, and (3) communication and parental coping. Specific themes were identified for each of these 3 dimensions in relation to parental concerns as well as HCP concerns. This investigation builds on prior research by advancing a comprehensive analysis of PICU communication that includes (a) cases where life-sustaining treatments were withdrawn or withheld as well as cases where they were maintained, (b) data from HCPs as well as parents, and (c) investigations conducted in 4 different sites. An evidence-informed conceptual framework is proposed for PICU communication between parents and HCPs. We also outline priorities for the development of practice, education, and research.

  19. Supporting evaluation and implementation of musculoskeletal Models of Care: A globally-informed framework for judging 'readiness' and 'success'.

    PubMed

    Briggs, Andrew M; Jordan, Joanne E; Jennings, Matthew; Speerin, Robyn; Bragge, Peter; Chua, Jason; Woolf, Anthony D; Slater, Helen

    2016-06-06

    Objective To develop a globally-informed framework to evaluate 'readiness' for implementation and 'success' after implementation of musculoskeletal Models of Care (MoCs). Methods Three-phases were undertaken: 1) qualitative study with 27 Australian subject matter experts (SMEs) to develop a draft Framework; 2) eDelphi study with an international panel of 93 SMEs across 30 nations to evaluate face validity, refine and establish consensus on the Framework components; and 3) translation of the Framework into a user-focused resource and evaluation of its acceptability with the eDelphi panel. Results A comprehensive evaluation framework was developed for judging 'readiness' and 'success' of musculoskeletal MoCs. The Framework consists of nine domains, with each domain containing a number of themes underpinned by detailed elements. In the first Delphi round, scores of 'partly agree' or 'completely agree' with the draft Framework ranged from 96.7-100%. In the second round, 'essential' scores ranged from 58.6-98.9%, resulting in 14 of 34 themes being classified as essential. SMEs strongly agreed or agreed that the final Framework was useful (98.8%), usable (95.1%), credible (100%) and appealing (93.9%). Overall, 96.3% strongly supported or supported the final structure of the Framework as it was presented, while 100%, 96.3% and 100% strongly supported or supported the content within the readiness, initiating implementation and success streams, respectively. Conclusions An empirically-derived framework to evaluate the readiness and success of musculoskeletal MoCs was strongly supported by an international panel of SMEs. The Framework provides an important internationally-applicable benchmark for the development, implementation and evaluation of musculoskeletal MoCs. This article is protected by copyright. All rights reserved.

  20. Using a social-ecological framework to inform the implementation of conservation plans.

    PubMed

    Guerrero, Angela M; Wilson, Kerrie A

    2017-04-01

    One of the key determinants of success in biodiversity conservation is how well conservation planning decisions account for the social system in which actions are to be implemented. Understanding elements of how the social and ecological systems interact can help identify opportunities for implementation. Utilizing data from a large-scale conservation initiative in southwestern of Australia, we explored how a social-ecological system framework can be applied to identify how social and ecological factors interact to influence the opportunities for conservation. Using data from semistructured interviews, an online survey, and publicly available data, we developed a conceptual model of the social-ecological system associated with the conservation of the Fitz-Stirling region. We used this model to identify the relevant variables (remnants of vegetation, stakeholder presence, collaboration between stakeholders, and their scale of management) that affect the implementation of conservation actions in the region. We combined measures for these variables to ascertain how areas associated with different levels of ecological importance coincided with areas associated with different levels of stakeholder presence, stakeholder collaboration, and scales of management. We identified areas that could benefit from different implementation strategies, from those suitable for immediate conservation action to areas requiring implementation over the long term to increase on-the-ground capacity and identify mechanisms to incentivize implementation. The application of a social-ecological framework can help conservation planners and practitioners facilitate the integration of ecological and social data to inform the translation of priorities for action into implementation strategies that account for the complexities of conservation problems in a focused way.

  1. Establishing the Framework for Land Data Assimilation of GRACE Terrestrial Water Storage Information

    NASA Astrophysics Data System (ADS)

    Sakumura, C.; Bettadpur, S. V.; Yang, Z. L.; Save, H.; McCullough, C.

    2015-12-01

    Assimilation of terrestrial water storage (TWS) data from the Gravity Recovery and Climate Experiment (GRACE) mission into current land surface models can correct model deficiencies due to errors in the model structure, atmospheric forcing datasets, parameters, etc. However, the assimilation process is complicated by spatial and temporal resolution discrepancies between the model and observational datasets, characterization of the error in each, and limitations of the algorithms used to calculate and update the model state. This study aims to establish a framework for hydrological data assimilation with GRACE. GRACE is an independent and accurate but coarse resolution terrestrial water storage dataset. While the models cannot attain the accuracy of GRACE, they are effective in interpretation and downscaling of the product and providing continuity over space and time. Accurate assimilation of GRACE TWS into LSMs thus will take the best characteristics of each and create a combined product that outperforms each individual source. More specifically, this framework entails a comprehensive analysis of the deficiencies and potential improvements of the satellite data products, the assimilation procedures and error characterization, and assimilation effectiveness. A daily sliding window mascon GRACE TWS product, presented previously, was developed to reduce smoothing in time and space during assimilation into the Community Land Model 4.0. The Ensemble Kalman Filter assimilation algorithms are analyzed and adapted for use with the new products, GRACE error information, and model characteristics. Additional assimilation tools such as Gaspari-Cohn localization and ensemble inflation are implemented and tuned for the model and observation properties. Analysis of the observational data, model data, sensitivity and effectiveness of the assimilation routines, and the assimilated results is done through regional comparison with independent in-situ datasets and external model

  2. [Elements for a history of neuroscience].

    PubMed

    Ortega, Francisco

    2009-01-01

    The spectacular progress ofthe neurosciences, as well as the intense process of popularization by the media of images and information that associate cerebral activity with practically every aspect of life, have produced a growing perception of the brain as the site and agent of all the properties and actions that define us as human beings. Today's socio-cultural context has seen increased interest in 'neuroascese' that is, discourses and practices aimed at maximizing brain performance. Tracing elements of the history of'brain ascese' back to historical moments of the nineteenth century in which neuroascetic practices were commonplace, the article examines their continued use today, taking into account the social, cultural, and historical contexts in which they originated.

  3. Neuroscience and appetitive behavior research: 25 years.

    PubMed

    Hoebel, B G

    1997-10-01

    Neuroscience techniques have made major contributions to the understanding of appetitive behavior. Highlights in six areas are summarized to illustrate progress during the 25 years of the Columbia Appetitive Behavior Seminar: (1) discovery of angiotensin and aldosterone in the control of thirst and salt appetite; (2) electrophysiological decoding of chemoreceptive information in the brain; (3) a new foundation in the hypothalamus built on peptides, such as neuropeptide Y and galanin, interacting with monoamines and steroids in the control of appetite for macronutrients; (4) discovery of numerous peptides that mediate and integrate satiety, such as cholecystokinin, insulin, leptin and enterostatin, and other systems that suppress eating during illness; (5) better understanding of appetite suppressant drugs, and (6) exploration of a circuit that translates hypothalamic signals into behavioral action through connections to brainstem reflex arcs and forebrain instrumental response systems.

  4. Integrative neuroscience approach to predict ADHD stimulant response.

    PubMed

    Hermens, Daniel F; Rowe, Donald L; Gordon, Evian; Williams, Leanne M

    2006-05-01

    Despite high rates of prescription, little is known about the long-term consequences of stimulant medication therapy for attention-deficit hyperactivity disorder (ADHD) sufferers. Historically, the clinical use of stimulants for ADHD has been based on trial and error before optimal therapy is reached. Concurrently, scientific research on the mechanism of action of stimulants has influenced neurobiological models of ADHD, but has not always informed their prescription. Whilst the two main stimulant types (methylphenidate and dexamphetamine) have numerous similarities, they also differ (slightly) in mechanism and possibly individual response. A further issue relates to differences in cost and availability compounded by the expectation for stimulants to be effective in ameliorating a broad spectrum of ADHD-related symptoms. Thus, there is an increasing need for treating clinicians to prescribe not only the most effective drug, but also the most appropriate dose with the associated release mechanism and schedule for each ADHD patient presented. In this regard, the field is witnessing an emergence of the personalized medicine approach to ADHD, in which treatment decisions are tailored to each individual. This shift requires a new approach to research into treatment response prediction. Given the heterogeneity of ADHD, a profile of information may be required to capture the most sensitive predictors of treatment response in individuals. These profiles will also benefit from the integration of data from clinical rating scales with more direct measures of cognition and brain function. In conclusion, there is a need to establish a more robust normative framework as the baseline for treatment, as well as diagnostic decisions, and as discussed, the growth of integrated neuroscience databases will be important in this regard.

  5. Teaching undergraduate neuroscience with brain teaser experiments.

    PubMed

    Goldreich, Daniel

    2004-01-01

    SUMMARY Neuroscience knowledge is of fundamental importance to the occupational therapist and other health care professionals, but neuroscience courses are often viewed in schools of health sciences as among the most arduous of the curriculum. To enhance student learning, the author has developed a series of in-class activities, "brainteasers," that are integrated into each subject module of a semester-long undergraduate neuroscience course. In the brain teaser activities, students experience intriguing sensory and motor phenomena, then use inductive reasoning to generate plausible hypotheses concerning the underlying neural mechanisms. Students profit doubly from these activities, learning neuroscience while practicing critical thinking.

  6. Best Practices: The Neuroscience Program at Central Michigan University.

    PubMed

    Dunbar, Gary L

    2015-01-01

    The original design of our program at Central Michigan University (CMU) and its evolving curriculum were directly influenced by Faculty for Undergraduate (FUN) workshops at Davidson College, Oberlin College, Trinity College, and Macalester College. The course content, laboratory exercises, and pedagogy used were informed by excellent articles in the Journal of Undergraduate Neuroscience Education (JUNE) and presentations at these FUN workshops and meetings over the years. Like the program at Baldwin-Wallace College, which was a previous winner of the Undergraduate Neuroscience Program of the Year Award, as selected by the Committee on Neuroscience Departments and Programs (CNDP) of the Society for Neuroscience (SfN, our program stresses the importance of inquiry-based, hands-on research experience for our undergraduates and utilizes a peer-mentoring system. A distinct advantage that is employed at CMU is the use of graduate student mentors, which allows us to expand our peer-mentorship to distinct research teams that are focused on a specific research project. Developing our program was not easy. The present manuscript reviews the long and arduous journey (including ways in which we navigated some difficult internal political issues) we made to build a strong program. Hopefully, this description may prove helpful for other evolving programs, in terms of avoiding certain pitfalls and overcoming obstacles, as well as selecting practices that have proven to be successful at our institution.

  7. Using developmental cognitive neuroscience to study behavioral and attentional control.

    PubMed

    Astle, Duncan E; Scerif, Gaia

    2009-03-01

    Adult cognitive neuroscience employs a wide variety of techniques to investigate a broad range of behavioral and cognitive functions. One prominent area of study is that of executive control, complemented by a smaller but growing literature exploring the developmental cognitive neuroscience of executive control. To date this approach has often compared children with specific developmental disorders, such as ADHD and ASD, with typically developing controls. Whilst these comparisons have done much to advance our understanding of the neural markers that underpin behavioral difficulties at specific time-points in development, we contend that they should leave developmental cognitive neuroscientists wanting. Studying the neural correlates of typical changes in executive control in their own right can reveal how different neural mechanisms characteristic of the adult end-state emerge, and it can therefore inform the adult cognitive neuroscience of executive control itself. The current review addresses the extent to which developmentalists and adult cognitive neuroscientists have tapped this common ground. Some very elegant investigations illustrate how seemingly common processes in adulthood present as separable in childhood, on the basis of their distinctive developmental trajectories. These demonstrations have implications not only for an understanding of changing behavior from infancy through childhood and adolescence into adulthood, but, moreover, for our grasp of the adult end-state per se. We contend that, if used appropriately, developmental cognitive neuroscience could enable us to construct a more mechanistic account of executive control.

  8. Best Practices: The Neuroscience Program at Central Michigan University

    PubMed Central

    Dunbar, Gary L.

    2015-01-01

    The original design of our program at Central Michigan University (CMU) and its evolving curriculum were directly influenced by Faculty for Undergraduate (FUN) workshops at Davidson College, Oberlin College, Trinity College, and Macalester College. The course content, laboratory exercises, and pedagogy used were informed by excellent articles in the Journal of Undergraduate Neuroscience Education (JUNE) and presentations at these FUN workshops and meetings over the years. Like the program at Baldwin-Wallace College, which was a previous winner of the Undergraduate Neuroscience Program of the Year Award, as selected by the Committee on Neuroscience Departments and Programs (CNDP) of the Society for Neuroscience (SfN, our program stresses the importance of inquiry-based, hands-on research experience for our undergraduates and utilizes a peer-mentoring system. A distinct advantage that is employed at CMU is the use of graduate student mentors, which allows us to expand our peer-mentorship to distinct research teams that are focused on a specific research project. Developing our program was not easy. The present manuscript reviews the long and arduous journey (including ways in which we navigated some difficult internal political issues) we made to build a strong program. Hopefully, this description may prove helpful for other evolving programs, in terms of avoiding certain pitfalls and overcoming obstacles, as well as selecting practices that have proven to be successful at our institution. PMID:26240523

  9. A Proposed Framework to Enrich Norwegian EHR System with Health-trusted Information for Patients and Professionals.

    PubMed

    Konstantinidis, Stathis Th; Kummervold, Per Egil; Luque, Luis Fernandez; Vognild, Lars Kristian

    2015-01-01

    In the era of social media, semantic web and big data, a huge amount of health-related information, knowledge and resources exist on the Web. Patients and healthcare professionals should spend enormous effort and time in order to find health-trusted information, while the appropriate technologies to interlink and retrieve this type of information already exist. In this paper we propose a framework to enrich DIPS, the most deployed Norwegian EHR System, with health-trusted information for patients and state-of-the-art resources for healthcare professionals. The framework based upon the new architecture of DIPS, namely DIPS Arena, and upon the interlinking with the semantic web, social media and open linked data cloud information, knowledge and resources through well-established medical thesauri like SNOMED CT and MeSH.

  10. A Theory of Information Quality and a Framework for its Implementation in the Requirements Engineering Process

    NASA Astrophysics Data System (ADS)

    Grenn, Michael W.

    This dissertation introduces a theory of information quality to explain macroscopic behavior observed in the systems engineering process. The theory extends principles of Shannon's mathematical theory of communication [1948] and statistical mechanics to information development processes concerned with the flow, transformation, and meaning of information. The meaning of requirements information in the systems engineering context is estimated or measured in terms of the cumulative requirements quality Q which corresponds to the distribution of the requirements among the available quality levels. The requirements entropy framework (REF) implements the theory to address the requirements engineering problem. The REF defines the relationship between requirements changes, requirements volatility, requirements quality, requirements entropy and uncertainty, and engineering effort. The REF is evaluated via simulation experiments to assess its practical utility as a new method for measuring, monitoring and predicting requirements trends and engineering effort at any given time in the process. The REF treats the requirements engineering process as an open system in which the requirements are discrete information entities that transition from initial states of high entropy, disorder and uncertainty toward the desired state of minimum entropy as engineering effort is input and requirements increase in quality. The distribution of the total number of requirements R among the N discrete quality levels is determined by the number of defined quality attributes accumulated by R at any given time. Quantum statistics are used to estimate the number of possibilities P for arranging R among the available quality levels. The requirements entropy H R is estimated using R, N and P by extending principles of information theory and statistical mechanics to the requirements engineering process. The information I increases as HR and uncertainty decrease, and the change in information AI needed

  11. The social neuroscience of reputation.

    PubMed

    Izuma, Keise

    2012-04-01

    Human behavior is strongly influenced by the presence of others. Obtaining a good reputation or avoiding a bad one is a powerful incentive for a plethora of human actions. Theoretical considerations suggest that reputation may be a key mediator of aspects of altruistic behavior that are uniquely human. Despite its considerable influence on human social behavior and the growing interest in social neuroscience, investigations of the neural basis of reputation-based decision-making are still in their infancy. Here, I argue that reputation is an important aspect of human social cognition and present some of the candidate neural mechanisms.

  12. Beyond Criminalization: Toward a Criminologically Informed Framework for Mental Health Policy and Services Research

    PubMed Central

    Silver, Eric; Wolff, Nancy

    2010-01-01

    The problems posed by persons with mental illness involved with the criminal justice system are vexing ones that have received attention at the local, state and national levels. The conceptual model currently guiding research and social action around these problems is shaped by the “criminalization” perspective and the associated belief that reconnecting individuals with mental health services will by itself reduce risk for arrest. This paper argues that such efforts are necessary but possibly not sufficient to achieve that reduction. Arguing for the need to develop a services research framework that identifies a broader range of risk factors for arrest, we describe three potentially useful criminological frameworks—the “life course,” “local life circumstances” and “routine activities” perspectives. Their utility as platforms for research in a population of persons with mental illness is discussed and suggestions are provided with regard to how services research guided by these perspectives might inform the development of community-based services aimed at reducing risk of arrest. PMID:16791518

  13. Safety margins estimation method considering uncertainties within the risk-informed decision-making framework

    SciTech Connect

    Martorell, S.; Nebot, Y.; Vilanueva, J. F.; Carlos, S.; Serradell, V.

    2006-07-01

    The adoption by regulators of the risk-informed decision-making philosophy has opened the debate on the role of the deterministic and probabilistic approaches to support regulatory matters of concern to NPP safety (e.g. safety margins, core damage frequency, etc.). However, the typical separation of the application fields does not imply that both methods cannot benefit from each other. On the contrary, there is a growing interest nowadays aimed at developing methods for using probabilistic safety analysis results into requirements and assumptions in deterministic analysis and vice versa. Thus, it appears an interesting challenge for the technical community aimed at combining best estimate thermal-hydraulic codes with probabilistic techniques to produce an effective and feasible technology, which should provide more realistic, complete and logical measure of reactor safety. This paper proposes a new unified framework to estimate safety margins using a best estimate thermal-hydraulic code with help of data and models from a level 1 LPSA (low power and shutdown probabilistic safety assessment - PSA) and considering simultaneously the uncertainty associated to both probabilistic and thermal-hydraulic codes. It is also presented an application example that demonstrates the performance and significance of the method and the relevance of the results achieved to the safety of nuclear power plants. (authors)

  14. A Geographic Information System framework for the dataset visualization in Wireless Sensor Networks

    NASA Astrophysics Data System (ADS)

    Shufean, Md Abu

    In Wireless Sensor Networks (WSNs), collecting data from sensor nodes and analyzing them is a challenging task. A Geographic Information System (GIS) could be a better way to analyze, manage, and represent the dataset collected by sensor nodes. Motivated by these considerations, we proposed a system to visualize the WSN dataset in real time using a software implementation of the GIS framework called ArcGIS. In this research, we have implemented our proposed system where a couple of sensor nodes has been deployed to collect Dissolved Oxygen (DO) and water pH value continuously from the John Gray Center pond of Lamar University. To keep track of each sensor node we have accumulated their precise location, sensing time, and corresponding data in our lab. After analyzing couple of data storing technique, we have decided to use PostGIS (a geospatial database) to store data and developed an ArcGIS centric application. Finally, with the help of that application, a web map was designed combining all different data source layers for end users where all the technical details have been encapsulated behind a base map. This web map has been hosted in a web server so that users sitting in any location can easily access and visualize desired data with a real time update. This research work has been supported by National Science Foundation under Grants CNS-0922888 and CNS-1427838.

  15. Evolution of natural history information in the 21st century – developing an integrated framework for biological and geographical data

    USGS Publications Warehouse

    Reusser, Deborah A.; Lee, Henry

    2011-01-01

    Threats to marine and estuarine species operate over many spatial scales, from nutrient enrichment at the watershed/estuarine scale to invasive species and climate change at regional and global scales. To help address research questions across these scales, we provide here a standardized framework for a biogeographical information system containing queriable biological data that allows extraction of information on multiple species, across a variety of spatial scales based on species distributions, natural history attributes and habitat requirements. As scientists shift from research on localized impacts on individual species to regional and global scale threats, macroecological approaches of studying multiple species over broad geographical areas are becoming increasingly important. The standardized framework described here for capturing and integrating biological and geographical data is a critical first step towards addressing these macroecological questions and we urge organizations capturing biogeoinformatics data to consider adopting this framework.

  16. Towards a Quantitative Performance Measurement Framework to Assess the Impact of Geographic Information Standards

    NASA Astrophysics Data System (ADS)

    Vandenbroucke, D.; Van Orshoven, J.; Vancauwenberghe, G.

    2012-12-01

    Over the last decennia, the use of Geographic Information (GI) has gained importance, in public as well as in private sector. But even if many spatial data and related information exist, data sets are scattered over many organizations and departments. In practice it remains difficult to find the spatial data sets needed, and to access, obtain and prepare them for using in applications. Therefore Spatial Data Infrastructures (SDI) haven been developed to enhance the access, the use and sharing of GI. SDIs consist of a set of technological and non-technological components to reach this goal. Since the nineties many SDI initiatives saw light. Ultimately, all these initiatives aim to enhance the flow of spatial data between organizations (users as well as producers) involved in intra- and inter-organizational and even cross-country business processes. However, the flow of information and its re-use in different business processes requires technical and semantic interoperability: the first should guarantee that system components can interoperate and use the data, while the second should guarantee that data content is understood by all users in the same way. GI-standards within the SDI are necessary to make this happen. However, it is not known if this is realized in practice. Therefore the objective of the research is to develop a quantitative framework to assess the impact of GI-standards on the performance of business processes. For that purpose, indicators are defined and tested in several cases throughout Europe. The proposed research will build upon previous work carried out in the SPATIALIST project. It analyzed the impact of different technological and non-technological factors on the SDI-performance of business processes (Dessers et al., 2011). The current research aims to apply quantitative performance measurement techniques - which are frequently used to measure performance of production processes (Anupindi et al., 2005). Key to reach the research objectives

  17. Neurosciences

    MedlinePlus

    ... Electrodiagnosis in Clinical Neurology. 6th ed. Philadelphia, PA: Elsevier; 2012:chap 1. Daroff RB, Jankovic J, Mazziotta ... Neurology in Clinical Practice. 7th ed. Philadelphia, PA: Elsevier; 2016:chap 1. Daroff RB, Jankovic J, Mazziotta ...

  18. Classics in Chemical Neuroscience: Xanomeline.

    PubMed

    Bender, Aaron M; Jones, Carrie K; Lindsley, Craig W

    2017-01-31

    Xanomeline (1) is an orthosteric muscarinic acetylcholine receptor (mAChR) agonist, often referred to as M1/M4-preferring that received widespread attention for its clinical efficacy in schizophrenia and Alzheimer's disease (AD) patients. Despite the compound's promising initial clinical results, dose-limiting side effects limited further clinical development. While xanomeline, and related orthosteric muscarinic agonists, have yet to receive approval from the FDA for the treatment of these CNS disorders, interest in the compound's unique M1/M4-preferring mechanism of action is ongoing in the field of chemical neuroscience. Specifically, the promising cognitive and behavioral effects of xanomeline in both schizophrenia and AD have spurred a renewed interest in the development of safer muscarinic ligands with improved subtype selectivity for either M1 or M4. This Review will address xanomeline's overall importance in the field of neuroscience, with a specific focus on its chemical structure and synthesis, pharmacology, drug metabolism and pharmacokinetics (DMPK), and adverse effects.

  19. A Framework for Integrating Knowledge Management with Risk Management for Information Technology Projects (RiskManiT)

    ERIC Educational Resources Information Center

    Karadsheh, Louay A.

    2010-01-01

    This research focused on the challenges experienced when executing risk management activities for information technology projects. The lack of adequate knowledge management support of risk management activities has caused many project failures in the past. The research objective was to propose a conceptual framework of the Knowledge-Based Risk…

  20. How neuroscience might advance the law.

    PubMed Central

    O'Hara, Erin Ann

    2004-01-01

    This essay discusses the strengths and limitations of the new, growing field of law and biology and suggests that advancements in neuroscience can help to bolster that field. It also briefly discusses some ways that neuroscience can help to improve the workings of law more generally. PMID:15590609

  1. Cognitive Neuroscience Discoveries and Educational Practices

    ERIC Educational Resources Information Center

    Sylwester, Robert

    2006-01-01

    In this article, the author describes seven movement-related areas of cognitive neuroscience research that will play key roles in shifting the current behavioral orientation of teaching and learning to an orientation that also incorporates cognitive neuroscience discoveries. These areas of brain research include: (1) mirroring system; (2) plastic…

  2. Neuroscience and Special Education. inForum

    ERIC Educational Resources Information Center

    Muller, Eve

    2011-01-01

    The purpose of this document is to provide a brief overview of how links are being developed between the rapidly expanding field of neuroscience and the practice of special education. The first part of the document introduces definitions and terminology, provides an overview of how findings from neuroscience are being applied to the field of…

  3. Educational Neuroscience: Its Position, Aims and Expectations

    ERIC Educational Resources Information Center

    van der Meulen, Anna; Krabbendam, Lydia; de Ruyter, Doret

    2015-01-01

    An important issue in the discussion on educational neuroscience is the transfer of thought and findings between neuroscience and education. In addition to factual confusions in this transfer in the form of neuromyths, logical confusions, or neuro-misconceptions, can be identified. We consider these transfer difficulties in light of the way…

  4. Three Requirements for Justifying an Educational Neuroscience

    ERIC Educational Resources Information Center

    Hruby, George G.

    2012-01-01

    Background: Over the past quarter century, efforts to bridge between research in the neurosciences and research, theory, and practice in education have grown from a mere hope to noteworthy scholarly sophistication. Many dedicated educational researchers have developed the secondary expertise in the necessary neurosciences and related fields to…

  5. Exploring Neuroscience: A Guide for Getting Started

    ERIC Educational Resources Information Center

    Twardosz, Sandra

    2007-01-01

    Neuroscience becomes more relevant for disciplines pertaining to children's development and education with each passing year. Thus, there is an urgent need for scholars and practitioners in these disciplines to educate themselves about the structure, function, and development of the brain, and to explore the neuroscience literature connected with…

  6. Instructional Methods for Neuroscience in Nurse Anesthesia Graduate Programs: A Survey of Educational Programs

    DTIC Science & Technology

    1999-10-01

    scan d. MRI e. Electroconvulsive therapy f. Echocardiography 11. Management of complications 12. Other a. Trauma b. Burns c. Critical care support d...literature on neuroscience training is limited to schools of medicine and physical therapy . The information on the teaching of neuroscience in other...in undergraduate physiology and anatomy classes performed better in nursing school as a whole. In a study of physical therapy programs by Mattingly

  7. Instructional Methods for Neuroscience in Nurse Anesthesia Graduate Programs: A Survey of Educational Programs

    DTIC Science & Technology

    1999-10-01

    scan d. MRI e. Electroconvulsive therapy f. Echocardiography 11. Management of complications 12. Other a. Trauma b. Burns c. Critical care support d...the literature on neuroscience training is limited to schools of medicine and physical therapy . The information on the teaching of neuroscience in...in undergraduate physiology and anatomy classes performed better in nursing school as a whole. In a study of physical therapy programs by Mattingly

  8. Assessing Higher-Order Cognitive Constructs by Using an Information-Processing Framework

    ERIC Educational Resources Information Center

    Dickison, Philip; Luo, Xiao; Kim, Doyoung; Woo, Ada; Muntean, William; Bergstrom, Betty

    2016-01-01

    Designing a theory-based assessment with sound psychometric qualities to measure a higher-order cognitive construct is a highly desired yet challenging task for many practitioners. This paper proposes a framework for designing a theory-based assessment to measure a higher-order cognitive construct. This framework results in a modularized yet…

  9. Bayesian framework for assessing the value of scientific space systems: Value of information approach with application to earth science spacecraft

    NASA Astrophysics Data System (ADS)

    Brathwaite, Joy; Saleh, Joseph H.

    2013-03-01

    Space systems play an important role in today's society by generating or transmitting information from source to sink(s). The acquisition of the space system is often justified by the type, quantity and quality of information provided or transmitted. This work posits that the value of a class of space systems derives from and can be assessed through the value of information these systems provide. To this effect, a Bayesian framework is developed to assess system value in which systems are viewed as information sources, and stakeholders as information recipients. Information has value to stakeholders as it helps to update their beliefs, enabling them to make decisions that can yield higher expected pay-offs than in the absence of information. This increase in expected pay-offs is ascribed to the value of the system. Based on this idea, a new metric, Value-of-Design (VOD), is introduced to quantify the value of a class of space systems with unpriced services. The Bayesian framework assesses the Value-of-Design for the space system by considering the impact of the information transmitted on the actions taken by stakeholders, and estimating the resulting pay-offs from these actions. The framework here developed is then applied to the case of an Earth Science satellite that provides hurricane information to oil rig operators in the Gulf of Mexico. Probability models of stakeholders' beliefs, and economic models of pay-offs are developed and integrated with a spacecraft design tool. Results from the application point to clusters of payload instruments that yielded higher information value, and minimum information thresholds below which it is difficult to justify the acquisition of the system. Additionally, the system is analyzed in Cost-VOD trade space to provide program managers with additional insights into the coupling of a system's predicted value generation and its associated lifecycle cost.

  10. Using the New Scenarios Framework to Inform Climate Change Adaptation Policy in Finland

    NASA Astrophysics Data System (ADS)

    Carter, T. R.

    2013-12-01

    In 2005, Finland was among the first countries in the world to develop a national climate change adaptation strategy (Marttila et al., 2005). This included a characterization of future changes in climate and socioeconomic conditions using scenarios based on the IPCC Special Report on Emissions Scenarios (SRES - IPCC, 2000). Following a government evaluation of the strategy, completion of a national adaptation research programme, and in light of the recent European Union adaptation strategy, the Finnish strategy is now under revision. As part of this revision process, the New Scenario Framework (Moss et al., 2010) is being used to guide the mapping of future conditions in Finland out to the end of the 21st century. Future Finnish climate is being analysed using the CMIP5 climate model simulations (Taylor et al., 2012), including downscaled information based on regional climate model projections in the EURO-CORDEX project (Vautard et al., 2013). All projections are forced by the Representative Concentration Pathways (RCPs - van Vuuren et al., 2011). Socioeconomic scenarios are also being developed by outlining alternative pathways that reflect national social, economic, environmental and planning goals. These are designed according to the Shared Socioeconomic Pathway (SSP) framework of challenges to adaptation and mitigation (Kriegler et al., 2012). Work is in progress to characterize these pathways, mainly qualitatively, for different sectors in Finland. Preliminary results of the conceptual scenario development phase will be presented in this session. These initial ideas will be exchanged with representatives of ministries, regional government and key stakeholder groups. The eventual form and number of scenarios that appear in the revised strategy will be determined following a formal review of the draft document to be prepared in 2014. Future work could include quantification of scenarios, possibly mapping them onto the specific SSP worlds. This would then provide

  11. Theory and methods in cultural neuroscience.

    PubMed

    Chiao, Joan Y; Hariri, Ahmad R; Harada, Tokiko; Mano, Yoko; Sadato, Norihiro; Parrish, Todd B; Iidaka, Tetsuya

    2010-06-01

    Cultural neuroscience is an emerging research discipline that investigates cultural variation in psychological, neural and genomic processes as a means of articulating the bidirectional relationship of these processes and their emergent properties. Research in cultural neuroscience integrates theory and methods from anthropology, cultural psychology, neuroscience and neurogenetics. Here, we review a set of core theoretical and methodological challenges facing researchers when planning and conducting cultural neuroscience studies, and provide suggestions for overcoming these challenges. In particular, we focus on the problems of defining culture and culturally appropriate experimental tasks, comparing neuroimaging data acquired from different populations and scanner sites and identifying functional genetic polymorphisms relevant to culture. Implications of cultural neuroscience research for addressing current issues in population health disparities are discussed.

  12. Theory and methods in cultural neuroscience

    PubMed Central

    Hariri, Ahmad R.; Harada, Tokiko; Mano, Yoko; Sadato, Norihiro; Parrish, Todd B.; Iidaka, Tetsuya

    2010-01-01

    Cultural neuroscience is an emerging research discipline that investigates cultural variation in psychological, neural and genomic processes as a means of articulating the bidirectional relationship of these processes and their emergent properties. Research in cultural neuroscience integrates theory and methods from anthropology, cultural psychology, neuroscience and neurogenetics. Here, we review a set of core theoretical and methodological challenges facing researchers when planning and conducting cultural neuroscience studies, and provide suggestions for overcoming these challenges. In particular, we focus on the problems of defining culture and culturally appropriate experimental tasks, comparing neuroimaging data acquired from different populations and scanner sites and identifying functional genetic polymorphisms relevant to culture. Implications of cultural neuroscience research for addressing current issues in population health disparities are discussed. PMID:20592044

  13. Integrated geographic information systems (IGIS) analysis and definition of the tectonic framework of northern Mexico

    NASA Astrophysics Data System (ADS)

    Martinez Pina, Carlos Manuel

    Crustal rupture structures reactivated in the course of the tectonic history of northern Mexico are the surface expressions of planes of weakness, in the form of simple or composite rectilinear features or slightly curved, defined as lineaments. Unless otherwise defined as strike-slip faults, lineaments are part of parallel and sub-parallel oblique convergent or oblique divergent tectonic zones cross cutting the Sierra Madre Occidental and northern Mexico, in a NW trend. These shear zones are the response to the oblique subduction of the Farallon plate beneath North America. Kinematic analysis of five selected sites in northern Mexico, three basins and two compressional shear zones, proved possible a combination of shear mechanism diagram and models from analogue materials, with satellite imagery and geographic information systems, as an aid to define strike-slip fault motion. This was done using a reverse engineering process by comparing geometries. One of the sites assessed, involving the Parras Basin, Coahuila Block (CB), San Marcos fault, a postulated PBF-1 fault, allowed for palinpastic reconstruction of the CB that corroborated the results of the vector motion defined, in addition to an extension of ˜25% in a northwest southeast direction. A GIS-based compilation and georeferenced regional structural studies by several researchers were used as ground control areas (GCA); their interpolation and interpretation, resulted in a tectonic framework map of northern Mexico. In addition, shaded relief models overlaid by the lineaments / fault layer allowed structural analyses of basins related to these major structures. Two important results were obtained from this study: the Tepehuanes-San Luis-fault (TSL) and the Guadalupe fault, named herein, displaces the Villa de Reyes graben, and the Aguascalientes graben, respectively, to the SE, confirming their left lateral vector motion; afterwards TSL was displaced south by the right lateral strike slip Taxco-San Miguel de

  14. A competency-based longitudinal core curriculum in medical neuroscience.

    PubMed

    Merlin, Lisa R; Horak, Holli A; Milligan, Tracey A; Kraakevik, Jeff A; Ali, Imran I

    2014-07-29

    Current medical educational theory encourages the development of competency-based curricula. The Accreditation Council for Graduate Medical Education's 6 core competencies for resident education (medical knowledge, patient care, professionalism, interpersonal and communication skills, practice-based learning, and systems-based practice) have been embraced by medical schools as the building blocks necessary for becoming a competent licensed physician. Many medical schools are therefore changing their educational approach to an integrated model in which students demonstrate incremental acquisition and mastery of all competencies as they progress through medical school. Challenges to medical schools include integration of preclinical and clinical studies as well as development of learning objectives and assessment measures for each competency. The Undergraduate Education Subcommittee (UES) of the American Academy of Neurology (AAN) assembled a group of neuroscience educators to outline a longitudinal competency-based curriculum in medical neuroscience encompassing both preclinical and clinical coursework. In development of this curriculum, the committee reviewed United States Medical Licensing Examination content outlines, Liaison Committee on Medical Education requirements, prior AAN-mandated core curricula for basic neuroscience and clinical neurology, and survey responses from educators in US medical schools. The newly recommended curriculum provides an outline of learning objectives for each of the 6 competencies, listing each learning objective in active terms. Documentation of experiences is emphasized, and assessment measures are suggested to demonstrate adequate achievement in each competency. These guidelines, widely vetted and approved by the UES membership, aspire to be both useful as a stand-alone curriculum and also provide a framework for neuroscience educators who wish to develop a more detailed focus in certain areas of study.

  15. Plasticity as a Framing Concept Enabling Transdisciplinary Understanding and Research in Neuroscience and Education

    ERIC Educational Resources Information Center

    García Carrasco, Joaquín; Hernández Serrano, María Jose; Martín García, Antonio Victor

    2015-01-01

    This article examines the emerging literature on the need for a synergy between neuroscience and educational sciences, identifying several differences in approach and methods that hinder the connecting processes between these two disciplines. From this review a transdisciplinary framework is presented which is based on the systemic and lifelong…

  16. Evaluating the impact of information communication technologies on complex organizational systems: a multi-disciplinary, multi-method framework.

    PubMed

    Westbrook, Johanna I; Braithwaite, Jeffery; Iedema, Rick; Coiera, Enrico W

    2004-01-01

    The health informatics research community has been undertaking work at the organization-technology intersection for some time now. However there is no one place in the literature which presents a rigorously-defined evaluation framework for use by practitioners and researchers seeking to assess the impact of information and communication technologies on organizational processes and outcomes. There are two main challenges. One is to conceptualize the design features of such an evaluation framework. The second is to specify what data will be gathered and how. This paper aims to address each of these problems.

  17. Information Seen as Part of the Development of Living Intelligence: the Five-Leveled Cybersemiotic Framework for FIS

    NASA Astrophysics Data System (ADS)

    Brier, Soren

    2003-06-01

    It is argued that a true transdisciplinary information science going from physical information to phenomenological understanding needs a metaphysical framework. Three different kinds of causality are implied: efficient, formal and final. And at least five different levels of existence are needed: 1. The quantum vacuum fields with entangled causation. 2. The physical level with is energy and force-based efficient causation. 3. The informational-chemical level with its formal causation based on pattern fitting. 4. The biological-semiotic level with its non-conscious final causation and 5. The social-linguistic level of self-consciousness with its conscious goal-oriented final causation. To integrate these consistently in an evolutionary theory as emergent levels, neither mechanical determinism nor complexity theory are sufficient because they cannot be a foundation for a theory of lived meaning. C. S. Peirce's triadic semiotic philosophy combined with a cybernetic and systemic view, like N. Luhmann's, could create the framework I call Cybersemiotics.

  18. Reflections on eponyms in neuroscience terminology.

    PubMed

    Duque-Parra, Jorge Eduardo; Llano-Idárraga, J Oskar; Duque-Parra, Carlos Alberto

    2006-11-01

    Eponyms have played a very significant linguistic role in technical and scientific terminology. They are an important feature of language that have contributed for a long time to engraving in history the names of those researchers who have devoted their lives to scientific discovery. In the field of medical terminology, they are an asset, although their semantic effectiveness has constituted a long-standing debate. We will analyze how language contributes to the advance of science and technology and the current position of eponyms in the health sciences. Eponymy in neuroscience has been used for a long time as a way to identify and recognize scientific issues, such as diseases, syndromes, methods, processes, substances, organs, and parts of organs as a way to honor those who, in a certain way, contributed to the progress of science. However, sometimes those honors do not correspond to the real contributors, thus receiving a nondeserved acknowledgment. Another problem with eponymic references is the lack of information about the matter in hand, because eponyms do not provide any clear information leading to the identification of the situation under study, as they are not reasonably descriptive. The aim of this article is to encourage the use of descriptive terms instead of eponyms and to establish a system of scientific nomenclature to consolidate the use of the language as a means of conveying scientific information among experts.

  19. Coordination Dynamics in Cognitive Neuroscience

    PubMed Central

    Bressler, Steven L.; Kelso, J. A. Scott

    2016-01-01

    Many researchers and clinicians in cognitive neuroscience hold to a modular view of cognitive function in which the cerebral cortex operates by the activation of areas with circumscribed elementary cognitive functions. Yet an ongoing paradigm shift to a dynamic network perspective is underway. This new viewpoint treats cortical function as arising from the coordination dynamics within and between cortical regions. Cortical coordination dynamics arises due to the unidirectional influences imposed on a cortical area by inputs from other areas that project to it, combined with the projection reciprocity that characterizes cortical connectivity and gives rise to reentrant processing. As a result, cortical dynamics exhibits both segregative and integrative tendencies and gives rise to both cooperative and competitive relations within and between cortical areas that are hypothesized to underlie the emergence of cognition in brains. PMID:27695395

  20. Scanning Electrochemical Microscopy in Neuroscience

    NASA Astrophysics Data System (ADS)

    Schulte, Albert; Nebel, Michaela; Schuhmann, Wolfgang

    2010-07-01

    This article reviews recent work involving the application of scanning electrochemical microscopy (SECM) to the study of individual cultured living cells, with an emphasis on topographical and functional imaging of neuronal and secretory cells of the nervous and endocrine system. The basic principles of biological SECM and associated negative amperometric-feedback and generator/collector-mode SECM imaging are discussed, and successful use of the methodology for screening soft and fragile membranous objects is outlined. The drawbacks of the constant-height mode of probe movement and the benefits of the constant-distance mode of SECM operation are described. Finally, representative examples of constant-height and constant-distance mode SECM on a variety of live cells are highlighted to demonstrate the current status of single-cell SECM in general and of SECM in neuroscience in particular.

  1. Neuroscience and Accelerator Mass Spectrometry

    SciTech Connect

    Palmblad, M N; Buchholz, B A; Hillegonds, D J; Vogel, J S

    2004-08-02

    Accelerator mass spectrometry (AMS) is a mass spectrometric method for quantifying rare isotopes. It has had great impact in geochronology and archaeology and is now being applied in biomedicine. AMS measures radioisotopes such as {sup 3}H, {sup 14}C, {sup 26}Al, {sup 36}Cl and {sup 41}Ca, with zepto- or attomole sensitivity and high precision and throughput, enabling safe human pharmacokinetic studies involving: microgram doses, agents having low bioavailability, or toxicology studies where administered doses must be kept low (<1 {micro}g/kg). It is used to study long-term pharmacokinetics, to identify biomolecular interactions, to determine chronic and low-dose effects or molecular targets of neurotoxic substances, to quantify transport across the blood-brain barrier and to resolve molecular turnover rates in the human brain on the timescale of decades. We will here review how AMS is applied in neurotoxicology and neuroscience.

  2. Neuroscience and accelerator mass spectrometry.

    PubMed

    Palmblad, Magnus; Buchholz, Bruce A; Hillegonds, Darren J; Vogel, John S

    2005-02-01

    Accelerator mass spectrometry (AMS) is a mass spectrometric method for quantifying rare isotopes. It has had a great impact in geochronology and archaeology and is now being applied in biomedicine. AMS measures radioisotopes such as 3H, 14C, 26Al, 36Cl and 41Ca, with zepto- or attomole sensitivity and high precision and throughput, allowing safe human pharmacokinetic studies involving microgram doses, agents having low bioavailability or toxicology studies where administered doses must be kept low (<1 microg kg(-1)). It is used to study long-term pharmacokinetics, to identify biomolecular interactions, to determine chronic and low-dose effects or molecular targets of neurotoxic substances, to quantify transport across the blood-brain barrier and to resolve molecular turnover rates in the human brain on the time-scale of decades. We review here how AMS is applied in neurotoxicology and neuroscience.

  3. Epigenetic advances in clinical neuroscience.

    PubMed

    Abel, Ted; Poplawski, Shane

    2014-09-01

    Epigenetics, broadly defined as the regulation of gene expression without alteration of the genome, has become a field of tremendous interest in neuroscience, neurology, and psychiatry. This research has rapidly changed the way researchers think about brain function. Exciting epigenetic discoveries have been found in addiction, early life stress, neurodegeneration, post-traumatic stress disorder, and depression. As researchers more precisely define the epigenetic landscape that regulates disease progression in each of these cases, therapeutics can be designed to specifically target the molecules that mediate these epigenetic processes. Further, epigenetics may lead, to the identification of novel biomarkers for diagnosis and for the monitoring of treatment. Epigenetic profiling is likely to become a routine tool for the diagnosis of neurological and psychiatric disorders in the near future.

  4. Informing the gestalt: an ethical framework for allocating scarce federal public health and medical resources to states during disasters.

    PubMed

    Knebel, Ann R; Sharpe, Virginia A; Danis, Marion; Toomey, Lauren M; Knickerbocker, Deborah K

    2014-02-01

    During catastrophic disasters, government leaders must decide how to efficiently and effectively allocate scarce public health and medical resources. The literature about triage decision making at the individual patient level is substantial, and the National Response Framework provides guidance about the distribution of responsibilities between federal and state governments. However, little has been written about the decision-making process of federal leaders in disaster situations when resources are not sufficient to meet the needs of several states simultaneously. We offer an ethical framework and logic model for decision making in such circumstances. We adapted medical triage and the federalism principle to the decision-making process for allocating scarce federal public health and medical resources. We believe that the logic model provides a values-based framework that can inform the gestalt during the iterative decision process used by federal leaders as they allocate scarce resources to states during catastrophic disasters.

  5. Mapping the Association of College and Research Libraries information literacy framework and nursing professional standards onto an assessment rubric

    PubMed Central

    Willson, Gloria; Angell, Katelyn

    2017-01-01

    Objective The authors developed a rubric for assessing undergraduate nursing research papers for information literacy skills critical to their development as researchers and health professionals. Methods We developed a rubric mapping six American Nurses Association professional standards onto six related concepts of the Association of College & Research Libraries (ACRL) Framework for Information Literacy for Higher Education. We used this rubric to evaluate fifty student research papers and assess inter-rater reliability. Results Students tended to score highest on the “Information Has Value” dimension and lowest on the “Scholarship as Conversation” dimension. However, we found a discrepancy between the grading patterns of the two investigators, with inter-rater reliability being “fair” or “poor” for all six rubric dimensions. Conclusions The development of a rubric that dually assesses information literacy skills and maps relevant disciplinary competencies holds potential. This study offers a template for a rubric inspired by the ACRL Framework and outside professional standards. However, the overall low inter-rater reliability demands further calibration of the rubric. Following additional norming, this rubric can be used to help students identify the key information literacy competencies that they need in order to succeed as college students and future nurses. These skills include developing an authoritative voice, determining the scope of their information needs, and understanding the ramifications of their information choices. PMID:28377678

  6. Making sense in a complex landscape: how the Cynefin Framework from Complex Adaptive Systems Theory can inform health promotion practice.

    PubMed

    Van Beurden, Eric K; Kia, Annie M; Zask, Avigdor; Dietrich, Uta; Rose, Lauren

    2013-03-01

    Health promotion addresses issues from the simple (with well-known cause/effect links) to the highly complex (webs and loops of cause/effect with unpredictable, emergent properties). Yet there is no conceptual framework within its theory base to help identify approaches appropriate to the level of complexity. The default approach favours reductionism--the assumption that reducing a system to its parts will inform whole system behaviour. Such an approach can yield useful knowledge, yet is inadequate where issues have multiple interacting causes, such as social determinants of health. To address complex issues, there is a need for a conceptual framework that helps choose action that is appropriate to context. This paper presents the Cynefin Framework, informed by complexity science--the study of Complex Adaptive Systems (CAS). It introduces key CAS concepts and reviews the emergence and implications of 'complex' approaches within health promotion. It explains the framework and its use with examples from contemporary practice, and sets it within the context of related bodies of health promotion theory. The Cynefin Framework, especially when used as a sense-making tool, can help practitioners understand the complexity of issues, identify appropriate strategies and avoid the pitfalls of applying reductionist approaches to complex situations. The urgency to address critical issues such as climate change and the social determinants of health calls for us to engage with complexity science. The Cynefin Framework helps practitioners make the shift, and enables those already engaged in complex approaches to communicate the value and meaning of their work in a system that privileges reductionist approaches.

  7. Advances in Neuroscience and the Biological and Toxin Weapons Convention

    PubMed Central

    Dando, Malcolm

    2011-01-01

    This paper investigates the potential threat to the prohibition of the hostile misuse of the life sciences embodied in the Biological and Toxin Weapons Convention from the rapid advances in the field of neuroscience. The paper describes how the implications of advances in science and technology are considered at the Five Year Review Conferences of the Convention and how State Parties have developed their appreciations since the First Review Conference in 1980. The ongoing advances in neurosciences are then assessed and their implications for the Convention examined. It is concluded that State Parties should consider a much more regular and systematic review system for such relevant advances in science and technology when they meet at the Seventh Review Conference in late 2011, and that neuroscientists should be much more informed and engaged in these processes of protecting their work from malign misuse. PMID:21350673

  8. Infusing Neuroscience into Teacher Professional Development

    PubMed Central

    Dubinsky, Janet M; Roehrig, Gillian; Varma, Sashank

    2015-01-01

    Bruer (1997) advocated connecting neuroscience and education indirectly through the intermediate discipline of psychology. We argue for a parallel route: the neurobiology of learning, and in particular the core concept of plasticity, have the potential to directly transform teacher preparation and professional development, and ultimately to affect how students think about their own learning. We present a case study of how the core concepts of neuroscience can be brought to in-service teachers – the BrainU workshops. We then discuss how neuroscience can be meaningfully integrated into pre-service teacher preparation, focusing on institutional and cultural barriers. PMID:26139861

  9. Neurosciences and adult health behaviors: recent findings and implications for counseling psychology.

    PubMed

    Simon-Dack, Stephanie L; Marmarosh, Cheri L

    2014-10-01

    The current review comprehensively examines recent advances in 2 innovative areas of neuroscience research on healthy adults regarding neuropsychosocial interactions on human cognition and behavior, as well as implications for counseling psychologists conducting research and in practice. Advances in how oxytocin influences prosocial behavior and the mitigation of social stress, and the influence of environmentally mediated gene expressions on the development of attachment disorders are surveyed and discussed in terms of how counseling psychologists might best integrate recent neuroscience research into a framework for therapeutic intervention.

  10. Developing the Next Generation of Civic-Minded Neuroscience Scholars: Incorporating Service Learning and Advocacy Throughout a Neuroscience Program

    PubMed Central

    Fox, Cecilia M.

    2015-01-01

    The Neuroscience Program of Moravian College aspires to produce well-informed, morally responsible and civically engaged individuals who will become the next generation of community leaders. Through the integration of service learning and advocacy into a Neuroscience curriculum, undergraduates are consistently involved in meaningful community service with instruction and reflection that enriches their learning experience, teaches civic responsibility and strengthens their college and local communities. As a result of our brain awareness outreach programming, formation of a local Society for Neuroscience chapter and advocacy for scientific funding initiatives, we have created a model of student engagement that has connected the academic to the practical in life altering ways for our undergraduates. Our service experiences have become an educational awakening as critical reflective thought creates new meaning and leads to growth and the ability to take informed actions. As expressed in our students’ portfolio writings, our service learning endeavors have lead to personal growth, contributed to humane conditions and engaged these citizens in purposeful association with one another. PMID:26557792

  11. Developing the Next Generation of Civic-Minded Neuroscience Scholars: Incorporating Service Learning and Advocacy Throughout a Neuroscience Program.

    PubMed

    Fox, Cecilia M

    2015-01-01

    The Neuroscience Program of Moravian College aspires to produce well-informed, morally responsible and civically engaged individuals who will become the next generation of community leaders. Through the integration of service learning and advocacy into a Neuroscience curriculum, undergraduates are consistently involved in meaningful community service with instruction and reflection that enriches their learning experience, teaches civic responsibility and strengthens their college and local communities. As a result of our brain awareness outreach programming, formation of a local Society for Neuroscience chapter and advocacy for scientific funding initiatives, we have created a model of student engagement that has connected the academic to the practical in life altering ways for our undergraduates. Our service experiences have become an educational awakening as critical reflective thought creates new meaning and leads to growth and the ability to take informed actions. As expressed in our students' portfolio writings, our service learning endeavors have lead to personal growth, contributed to humane conditions and engaged these citizens in purposeful association with one another.

  12. The Impact of Instruction in the WWWDOT Framework on Students' Disposition and Ability to Evaluate Web Sites as Sources of Information

    ERIC Educational Resources Information Center

    Zhang, Shenglan; Duke, Nell K.

    2011-01-01

    Much research has demonstrated that students are largely uncritical users of Web sites as sources of information. Research-tested frameworks are needed to increase elementary-age students' awareness of the need and ability to critically evaluate Web sites as sources of information. This study is a randomized field trial of such a framework called…

  13. SEMANTIC INFORMATION EXTRACTION FROM MULTISPECTRAL GEOSPATIAL IMAGERY VIA A FLEXIBLE FRAMEWORK

    SciTech Connect

    Gleason, Shaun Scott; Ferrell, Regina Kay; Cheriyadat, Anil M; Vatsavai, Raju; De, Soumya

    2010-01-01

    Identification and automatic labeling of facilities in high-resolution satellite images is a challenging task as the current thematic classification schemes and the low-level image features are not good enough to capture complex objects and their spatial relationships. In this paper we present a novel algorithm framework for automated semantic labeling of large image collections. The framework consists of various segmentation, feature extraction, vector quantization, and Latent Dirichlet Allocation modules. Initial experimental results show promise as well as the challenges in semantic classification technology development for nuclear proliferation monitoring.

  14. The neurosciences research program at MIT and the beginning of the modern field of neuroscience.

    PubMed

    Adelman, George

    2010-01-15

    The interdisciplinary field, "neuroscience," began at MIT in 1962 with the founding of the Neurosciences Research Program (NRP) by Francis O. Schmitt and a group of US and international scientists - physical, biological, medical, and behavioral - interested in understanding the brain basis of behavior and mind. They organized and held specialist meetings of basic topics in neuroscience, and the journal and book publications over the next 20 years, based on these meetings, helped establish the new field.

  15. Sustainment and Net-ready Key Performance Parameters (KPP) in an Enterprise Information System (EIS) Value Assurance Framework (VAF)

    DTIC Science & Technology

    2014-04-01

    NPS-IS-14-001 NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA SUSTAINMENT AND NET -READY KEY PERFORMANCE PARAMETERS (KPP) IN...TITLE AND SUBTITLE Sustainment and Net -ready Key Performance Parameters (KPP) in an Enterprise Information System (EIS) Value Assurance Framework...DoD “Sustainment KPP” (S-KPP) and the “ Net -Ready KPP” (NR-KPP). Hence, VAF provides an engineering assurance model for developing systems that

  16. Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands.

    PubMed

    Santello, Marco; Bianchi, Matteo; Gabiccini, Marco; Ricciardi, Emiliano; Salvietti, Gionata; Prattichizzo, Domenico; Ernst, Marc; Moscatelli, Alessandro; Jörntell, Henrik; Kappers, Astrid M L; Kyriakopoulos, Kostas; Albu-Schäffer, Alin; Castellini, Claudio; Bicchi, Antonio

    2016-07-01

    The term 'synergy' - from the Greek synergia - means 'working together'. The concept of multiple elements working together towards a common goal has been extensively used in neuroscience to develop theoretical frameworks, experimental approaches, and analytical techniques to understand neural control of movement, and for applications for neuro-rehabilitation. In the past decade, roboticists have successfully applied the framework of synergies to create novel design and control concepts for artificial hands, i.e., robotic hands and prostheses. At the same time, robotic research on the sensorimotor integration underlying the control and sensing of artificial hands has inspired new research approaches in neuroscience, and has provided useful instruments for novel experiments. The ambitious goal of integrating expertise and research approaches in robotics and neuroscience to study the properties and applications of the concept of synergies is generating a number of multidisciplinary cooperative projects, among which the recently finished 4-year European project "The Hand Embodied" (THE). This paper reviews the main insights provided by this framework. Specifically, we provide an overview of neuroscientific bases of hand synergies and introduce how robotics has leveraged the insights from neuroscience for innovative design in hardware and controllers for biomedical engineering applications, including myoelectric hand prostheses, devices for haptics research, and wearable sensing of human hand kinematics. The review also emphasizes how this multidisciplinary collaboration has generated new ways to conceptualize a synergy-based approach for robotics, and provides guidelines and principles for analyzing human behavior and synthesizing artificial robotic systems based on a theory of synergies.

  17. Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands

    NASA Astrophysics Data System (ADS)

    Santello, Marco; Bianchi, Matteo; Gabiccini, Marco; Ricciardi, Emiliano; Salvietti, Gionata; Prattichizzo, Domenico; Ernst, Marc; Moscatelli, Alessandro; Jörntell, Henrik; Kappers, Astrid M. L.; Kyriakopoulos, Kostas; Albu-Schäffer, Alin; Castellini, Claudio; Bicchi, Antonio

    2016-07-01

    The term 'synergy' - from the Greek synergia - means 'working together'. The concept of multiple elements working together towards a common goal has been extensively used in neuroscience to develop theoretical frameworks, experimental approaches, and analytical techniques to understand neural control of movement, and for applications for neuro-rehabilitation. In the past decade, roboticists have successfully applied the framework of synergies to create novel design and control concepts for artificial hands, i.e., robotic hands and prostheses. At the same time, robotic research on the sensorimotor integration underlying the control and sensing of artificial hands has inspired new research approaches in neuroscience, and has provided useful instruments for novel experiments. The ambitious goal of integrating expertise and research approaches in robotics and neuroscience to study the properties and applications of the concept of synergies is generating a number of multidisciplinary cooperative projects, among which the recently finished 4-year European project ;The Hand Embodied; (THE). This paper reviews the main insights provided by this framework. Specifically, we provide an overview of neuroscientific bases of hand synergies and introduce how robotics has leveraged the insights from neuroscience for innovative design in hardware and controllers for biomedical engineering applications, including myoelectric hand prostheses, devices for haptics research, and wearable sensing of human hand kinematics. The review also emphasizes how this multidisciplinary collaboration has generated new ways to conceptualize a synergy-based approach for robotics, and provides guidelines and principles for analyzing human behavior and synthesizing artificial robotic systems based on a theory of synergies.

  18. Onondaga Lake Watershed – A Geographic Information System Project Phase I – Needs assessment and spatial data framework

    USGS Publications Warehouse

    Freehafer, Douglas A.; Pierson, Oliver

    2004-01-01

    In the fall of 2002, the Onondaga Lake Partnership (OLP) formed a Geographic Information System (GIS) Planning Committee to begin the process of developing a comprehensive watershed geographic information system for Onondaga Lake. The goal of the Onondaga Lake Partnership geographic information system is to integrate the various types of spatial data used for scientific investigations, resource management, and planning and design of improvement projects in the Onondaga Lake Watershed. A needs-assessment survey was conducted and a spatial data framework developed to support the Onondaga Lake Partnership use of geographic information system technology. The design focused on the collection, management, and distribution of spatial data, maps, and internet mapping applications. A geographic information system library of over 100 spatial datasets and metadata links was assembled on the basis of the results of the needs assessment survey. Implementation options were presented, and the Geographic Information System Planning Committee offered recommendations for the management and distribution of spatial data belonging to Onondaga Lake Partnership members. The Onondaga Lake Partnership now has a strong foundation for building a comprehensive geographic information system for the Onondaga Lake watershed. The successful implementation of a geographic information system depends on the Onondaga Lake Partnership’s determination of: (1) the design and plan for a geographic information system, including the applications and spatial data that will be provided and to whom, (2) the level of geographic information system technology to be utilized and funded, and (3) the institutional issues of operation and maintenance of the system.

  19. Reconciling the Disconnect between Information Technology and Information Systems Using an Organizational Epistemology: A Framework to Improve Success with Technology

    ERIC Educational Resources Information Center

    Powell, Christopher R.

    2010-01-01

    There is a disconnect between information technology (IT) and information systems (IS) that lies at the foundation of frequent failure in cost, schedule, and/or performance of IT/IS. This disconnect can perhaps be reconciled through a focus on the socially constructed and emergent nature of IT as it enters and is used by an organization. The…

  20. The Many Forms of Research-Informed Practice: A Framework for Mapping Diversity

    ERIC Educational Resources Information Center

    Ostinelli, Giorgio

    2016-01-01

    This article investigates the interaction between educational research and practice in school systems, through a bi-dimensional framework. Forty-four papers were selected and analysed, and were grouped based on their pertinence to the categories: "system level" (macro-meso-micro) and "locus of need"…

  1. Chaordic Systems Thinking: Some Suggestions for a Complexity Framework to Inform a Learning Organization

    ERIC Educational Resources Information Center

    van Eijnatten, Frans M.

    2004-01-01

    This contribution suggests a conceptual framework for using complexity to understand human interactions in learning organizations. The particular lens adopted for this purpose is that of the Chaos perspective. The following general concepts are described: discontinuous growth, attractors: their basins and landscapes, the chaordic properties of…

  2. Fostering Undergraduate Research Experiences in Management Information Systems through the "Research Group" Framework

    ERIC Educational Resources Information Center

    Bartkus, Ken; Mills, Robert; Olsen, David

    2010-01-01

    The purpose of this paper is to propose an innovative approach to engaged learning. Founded on the principles of a scholarly think-tank and administered along the lines of a consulting organization, the proposed "Research Group" framework is designed to facilitate effective and efficient undergraduate research experiences in Management…

  3. Incorporating exposure information into the toxicological prioritization index decision support framework

    EPA Science Inventory

    The Toxicological Prioritization Index (ToxPi) decision support framework was previously developed to facilitate incorporation of diverse data to prioritize chemicals based on potential hazard. This ToxPi index was demonstrated by considering results of bioprofiling related to po...

  4. A Semantics-Based Information Distribution Framework for Large Web-Based Course Forum System

    ERIC Educational Resources Information Center

    Chim, Hung; Deng, Xiaotie

    2008-01-01

    We propose a novel data distribution framework for developing a large Web-based course forum system. In the distributed architectural design, each forum server is fully equipped with the ability to support some course forums independently. The forum servers collaborating with each other constitute the whole forum system. Therefore, the workload of…

  5. Pedagogy Redefined: Frameworks of Learning Approaches Prevalent in the Current Digital Information Age

    ERIC Educational Resources Information Center

    AlFuqaha, Isam Najib

    2013-01-01

    This paper attempts to delineate the frameworks of learner-centered vis-à-vis teacher-centered processes of learning prevalent in the second decade of the twenty-first century. It defines the pedagogical changes that have emerged due to the development of delivery technologies, and the interrelations among teachers, students, and knowledge. The…

  6. Teaching Undergraduate Neuroscience in the Digital Age

    PubMed Central

    Korey, Christopher A.

    2009-01-01

    The Internet is enhancing and challenging traditional approaches to teaching undergraduate neuroscience. In addition to the new FUN-supported development of a Society for Neuroscience Portal for higher education, there is a wealth of available teaching resources currently housed on the web. This article discusses the current state of digital libraries and introduces a series of exemplary web-based classroom resources. PMID:23493189

  7. Research possibilities for organizational cognitive neuroscience.

    PubMed

    Butler, Michael J R; Senior, Carl

    2007-11-01

    In this article, we identify research possibilities for organizational cognitive neuroscience that emerge from the papers in this special issue. We emphasize the intriguing finding that the papers share a common theme-the use of cognitive neuroscience to investigate the role of emotions in organizational behavior; this suggests a research agenda in its own right. We conclude the article by stressing that there is much yet to discover about how the mind works, especially in organizational settings.

  8. The neuroscience of placebo effects: connecting context, learning and health.

    PubMed

    Wager, Tor D; Atlas, Lauren Y

    2015-07-01

    Placebo effects are beneficial effects that are attributable to the brain-mind responses to the context in which a treatment is delivered rather than to the specific actions of the drug. They are mediated by diverse processes--including learning, expectations and social cognition--and can influence various clinical and physiological outcomes related to health. Emerging neuroscience evidence implicates multiple brain systems and neurochemical mediators, including opioids and dopamine. We present an empirical review of the brain systems that are involved in placebo effects, focusing on placebo analgesia, and a conceptual framework linking these findings to the mind-brain processes that mediate them. This framework suggests that the neuropsychological processes that mediate placebo effects may be crucial for a wide array of therapeutic approaches, including many drugs.

  9. Closed-Loop Neuroscience and Non-Invasive Brain Stimulation: A Tale of Two Loops

    PubMed Central

    Zrenner, Christoph; Belardinelli, Paolo; Müller-Dahlhaus, Florian; Ziemann, Ulf

    2016-01-01

    Closed-loop neuroscience is receiving increasing attention with recent technological advances that enable complex feedback loops to be implemented with millisecond resolution on commodity hardware. We summarize emerging conceptual and methodological frameworks that are available to experimenters investigating a “brain in the loop” using non-invasive brain stimulation and briefly review the experimental and therapeutic implications. We take the view that closed-loop neuroscience in fact deals with two conceptually quite different loops: a “brain-state dynamics” loop, used to couple with and modulate the trajectory of neuronal activity patterns, and a “task dynamics” loop, that is the bidirectional motor-sensory interaction between brain and (simulated) environment, and which enables goal-directed behavioral tasks to be incorporated. Both loops need to be considered and combined to realize the full experimental and therapeutic potential of closed-loop neuroscience. PMID:27092055

  10. Does the goal justify the methods? Harm and benefit in neuroscience research using animals.

    PubMed

    Vieira de Castro, Ana Catarina; Olsson, I Anna S

    2015-01-01

    The goal of the present chapter is to open up for discussion some of the major ethical issues involved in animal-based neuroscience research. We begin by approaching the question of the moral acceptability of the use of animals in research at all, exploring the implications of three different ethical theories: contractarianism, utilitarianism, and animal rights. In the rest of this chapter, we discuss more specific issues of neuroscience research within what we argue is the mainstream framework for research animal ethics, namely one based on harm-benefit analysis. We explore issues of harms and benefits and how to balance them as well as how to reduce harm and increase benefit within neuroscience research.

  11. What does the interactive brain hypothesis mean for social neuroscience? A dialogue.

    PubMed

    De Jaegher, Hanne; Di Paolo, Ezequiel; Adolphs, Ralph

    2016-05-05

    A recent framework inspired by phenomenological philosophy, dynamical systems theory, embodied cognition and robotics has proposed the interactive brain hypothesis (IBH). Whereas mainstream social neuroscience views social cognition as arising solely from events in the brain, the IBH argues that social cognition requires, in addition, causal relations between the brain and the social environment. We discuss, in turn, the foundational claims for the IBH in its strongest form; classical views of cognition that can be raised against the IBH; a defence of the IBH in the light of these arguments; and a response to this. Our goal is to initiate a dialogue between cognitive neuroscience and enactive views of social cognition. We conclude by suggesting some new directions and emphases that social neuroscience might take.

  12. Interpreting BOLD: towards a dialogue between cognitive and cellular neuroscience

    PubMed Central

    Howarth, Clare; Kurth-Nelson, Zebulun; Mishra, Anusha

    2016-01-01

    Cognitive neuroscience depends on the use of blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to probe brain function. Although commonly used as a surrogate measure of neuronal activity, BOLD signals actually reflect changes in brain blood oxygenation. Understanding the mechanisms linking neuronal activity to vascular perfusion is, therefore, critical in interpreting BOLD. Advances in cellular neuroscience demonstrating differences in this neurovascular relationship in different brain regions, conditions or pathologies are often not accounted for when interpreting BOLD. Meanwhile, within cognitive neuroscience, the increasing use of high magnetic field strengths and the development of model-based tasks and analyses have broadened the capability of BOLD signals to inform us about the underlying neuronal activity, but these methods are less well understood by cellular neuroscientists. In 2016, a Royal Society Theo Murphy Meeting brought scientists from the two communities together to discuss these issues. Here, we consolidate the main conclusions arising from that meeting. We discuss areas of consensus about what BOLD fMRI can tell us about underlying neuronal activity, and how advanced modelling techniques have improved our ability to use and interpret BOLD. We also highlight areas of controversy in understanding BOLD and suggest research directions required to resolve these issues. This article is part of the themed issue ‘Interpreting BOLD: a dialogue between cognitive and cellular neuroscience’. PMID:27574302

  13. Sparse spike coding : applications of neuroscience to the processing of natural images

    NASA Astrophysics Data System (ADS)

    Perrinet, Laurent U.

    2008-04-01

    If modern computers are sometimes superior to cognition in some specialized tasks such as playing chess or browsing a large database, they can't beat the efficiency of biological vision for such simple tasks as recognizing a relative or following an object in a complex background. We present in this paper our attempt at outlining the dynamical, parallel and event-based representation for vision in the architecture of the central nervous system. We will illustrate this by showing that in a signal matching framework, a L/LN (linear/non-linear) cascade may efficiently transform a sensory signal into a neural spiking signal and we apply this framework to a model retina. However, this code gets redundant when using an over-complete basis as is necessary for modeling the primary visual cortex: we therefore optimize the efficiency cost by increasing the sparseness of the code. This is implemented by propagating and canceling redundant information using lateral interactions. We compare the eciency of this representation in terms of compression as the reconstruction quality as a function of the coding length. This will correspond to a modification of the Matching Pursuit algorithm where the ArgMax function is optimized for competition, or Competition Optimized Matching Pursuit (COMP). We will particularly focus on bridging neuroscience and image processing and on the advantages of such an interdisciplinary approach.

  14. An empirically-derived approach for investigating Health Information Technology: the Elementally Entangled Organisational Communication (EEOC) framework

    PubMed Central

    2012-01-01

    Background The purpose of this paper is to illustrate the Elementally Entangled Organisational Communication (EEOC) framework by drawing on a set of three case studies which assessed the impact of new Health Information Technology (HIT) on a pathology service. The EEOC framework was empirically developed as a tool to tackle organisational communication challenges in the implementation and evaluation of health information systems. Methods The framework was synthesised from multiple research studies undertaken across a major metropolitan hospital pathology service during the period 2005 to 2008. These studies evaluated the impact of new HIT systems in pathology departments (Laboratory Information System) and an Emergency Department (Computerised Provider Order Entry) located in Sydney, Australia. Results Key dimensions of EEOC are illustrated by the following case studies: 1) the communication infrastructure between the Blood Bank and the ward for the coordination and distribution of blood products; 2) the organisational environment in the Clinical Chemistry and Haematology departments and their attempts to organise, plan and control the processing of laboratory specimens; and 3) the temporal make up of the organisation as revealed in changes to the way the Central Specimen Reception allocated, sequenced and synchronised work tasks. Conclusions The case studies not only highlight the pre-existing communication architecture within the organisation but also the constitutive role communication plays in the way organisations go about addressing their requirements. HIT implementation involves a mutual transformation of the organisation and the technology. This is a vital consideration because of the dangers associated with poor organisational planning and implementation of HIT, and the potential for unintended adverse consequences, workarounds and risks to the quality and safety of patient care. The EEOC framework aims to account for the complex range of contextual

  15. The neuroscience of musical improvisation.

    PubMed

    Beaty, Roger E

    2015-04-01

    Researchers have recently begun to examine the neural basis of musical improvisation, one of the most complex forms of creative behavior. The emerging field of improvisation neuroscience has implications not only for the study of artistic expertise, but also for understanding the neural underpinnings of domain-general processes such as motor control and language production. This review synthesizes functional magnetic resonance imagining (fMRI) studies of musical improvisation, including vocal and instrumental improvisation, with samples of jazz pianists, classical musicians, freestyle rap artists, and non-musicians. A network of prefrontal brain regions commonly linked to improvisatory behavior is highlighted, including the pre-supplementary motor area, medial prefrontal cortex, inferior frontal gyrus, dorsolateral prefrontal cortex, and dorsal premotor cortex. Activation of premotor and lateral prefrontal regions suggests that a seemingly unconstrained behavior may actually benefit from motor planning and cognitive control. Yet activation of cortical midline regions points to a role of spontaneous cognition characteristic of the default network. Together, such results may reflect cooperation between large-scale brain networks associated with cognitive control and spontaneous thought. The improvisation literature is integrated with Pressing's theoretical model, and discussed within the broader context of research on the brain basis of creative cognition.

  16. Enhanced decision making through neuroscience

    NASA Astrophysics Data System (ADS)

    Szu, Harold; Jung, TP; Makeig, Scott

    2012-06-01

    We propose to enhance the decision making of pilot, co-pilot teams, over a range of vehicle platforms, with the aid of neuroscience. The goal is to optimize this collaborative decision making interplay in time-critical, stressful situations. We will research and measure human facial expressions, personality typing, and brainwave measurements to help answer questions related to optimum decision-making in group situations. Further, we propose to examine the nature of intuition in this decision making process. The brainwave measurements will be facilitated by a University of California, San Diego (UCSD) developed wireless Electroencephalography (EEG) sensing cap. We propose to measure brainwaves covering the whole head area with an electrode density of N=256, and yet keep within the limiting wireless bandwidth capability of m=32 readouts. This is possible because solving Independent Component Analysis (ICA) and finding the hidden brainwave sources allow us to concentrate selective measurements with an organized sparse source -->s sensing matrix [Φs], rather than the traditional purely random compressive sensing (CS) matrix[Φ].

  17. Developing a Knowledge Management Framework to Assist With Current USMC Information Management Practices

    DTIC Science & Technology

    2010-09-01

    IN INFORMATION TECHNOLOGY MANAGEMENT from the NAVAL POSTGRADUATE SCHOOL September 2010 Author: Petrus R. Johnson Approved by...13 E. KNOWLEDGE AND TECHNOLOGY .......................................................15 1. Knowledge Creation...Information Management Plan IPDS IDEA Program Data System IT Information Technology KCO Knowledge Centric Organization KM Knowledge

  18. Linking neuroscience and psychoanalysis from a developmental perspective: why and how?

    PubMed

    Ouss-Ryngaert, Lisa; Golse, Bernard

    2010-12-01

    This paper aims to develop the rational to support why and how we should link neuroscience and psychoanalysis. Many of these points are derived from child development and child psychiatry. Neuroscience investigates developmental questions in a different way than psychoanalysis, while psychoanalysis itself has shifted towards new developmental paradigms. The rapprochement between neuroscience and psychoanalysis allows a new understanding of some concepts, including embodiment of mind, consciousness and attachment. The "double reading" paradigm allows a better understanding of symptomatic configurations. Linking neuroscience and psychoanalysis may improve treatments and result in new experimental neuroscientific paradigms involving changing the research object, changing the state of the research object, and investigating the structural changes in the brain following psychotherapy. The last aim is to create an epistemology of the articulation between the theoretical frameworks through phenomenology, "complementarism" and neuropsychoanalysis. We argue that it is necessary for clinicians to be aware of the advancements in each field. This is not only an epistemological question; we assume that new findings in neuroscience will change the way psychoanalysts think and approach treatment of their patients. We hope the present research will contribute to change the way that neuroscientists think and will provide new options to their set of experimental paradigms.

  19. Cognitive neuroscience of human counterfactual reasoning

    PubMed Central

    Van Hoeck, Nicole; Watson, Patrick D.; Barbey, Aron K.

    2015-01-01

    Counterfactual reasoning is a hallmark of human thought, enabling the capacity to shift from perceiving the immediate environment to an alternative, imagined perspective. Mental representations of counterfactual possibilities (e.g., imagined past events or future outcomes not yet at hand) provide the basis for learning from past experience, enable planning and prediction, support creativity and insight, and give rise to emotions and social attributions (e.g., regret and blame). Yet remarkably little is known about the psychological and neural foundations of counterfactual reasoning. In this review, we survey recent findings from psychology and neuroscience indicating that counterfactual thought depends on an integrative network of systems for affective processing, mental simulation, and cognitive control. We review evidence to elucidate how these mechanisms are systematically altered through psychiatric illness and neurological disease. We propose that counterfactual thinking depends on the coordination of multiple information processing systems that together enable adaptive behavior and goal-directed decision making and make recommendations for the study of counterfactual inference in health, aging, and disease. PMID:26257633

  20. Cognitive neuroscience of human counterfactual reasoning.

    PubMed

    Van Hoeck, Nicole; Watson, Patrick D; Barbey, Aron K

    2015-01-01

    Counterfactual reasoning is a hallmark of human thought, enabling the capacity to shift from perceiving the immediate environment to an alternative, imagined perspective. Mental representations of counterfactual possibilities (e.g., imagined past events or future outcomes not yet at hand) provide the basis for learning from past experience, enable planning and prediction, support creativity and insight, and give rise to emotions and social attributions (e.g., regret and blame). Yet remarkably little is known about the psychological and neural foundations of counterfactual reasoning. In this review, we survey recent findings from psychology and neuroscience indicating that counterfactual thought depends on an integrative network of systems for affective processing, mental simulation, and cognitive control. We review evidence to elucidate how these mechanisms are systematically altered through psychiatric illness and neurological disease. We propose that counterfactual thinking depends on the coordination of multiple information processing systems that together enable adaptive behavior and goal-directed decision making and make recommendations for the study of counterfactual inference in health, aging, and disease.

  1. Preventing information overload: cognitive load theory as an instructional framework for teaching pharmacology.

    PubMed

    Kaylor, Sara K

    2014-02-01

    Nursing students are challenged by content-laden curricula and learning environments that emphasize testing outcomes. Likewise, educators are challenged to support student-centered learning in a manner that encourages students to connect and act upon their personal motivations. This article describes the use of cognitive load theory (CLT) as an instructional design framework for an undergraduate pharmacology for nursing course. Guided by the principles of CLT, four instructional strategies were used in this course: (a) opening review activities, (b) providing students with lecture notes, (c) a "Top Five" prototype approach, and (d) deciphering "Need to Knows" from "Nice to Knows." Instructional style and strategies received positive student feedback and were found to promote a student-centered environment and active learning. On the basis of this feedback, cognitive load theory may be a successful and effective framework for undergraduate pharmacology and other nursing courses, thus assisting students and educators alike in overcoming obstacles imposed on learning environments.

  2. Conceptual Framework for the Mapping of Management Process with Information Technology in a Business Process

    PubMed Central

    Chellappa, Swarnalatha; Nagarajan, Asha

    2015-01-01

    This study on component framework reveals the importance of management process and technology mapping in a business environment. We defined ERP as a software tool, which has to provide business solution but not necessarily an integration of all the departments. Any business process can be classified as management process, operational process and the supportive process. We have gone through entire management process and were enable to bring influencing components to be mapped with a technology for a business solution. Governance, strategic management, and decision making are thoroughly discussed and the need of mapping these components with the ERP is clearly explained. Also we suggest that implementation of this framework might reduce the ERP failures and especially the ERP misfit was completely rectified. PMID:25861688

  3. Conceptual framework for the mapping of management process with information technology in a business process.

    PubMed

    Rajarathinam, Vetrickarthick; Chellappa, Swarnalatha; Nagarajan, Asha

    2015-01-01

    This study on component framework reveals the importance of management process and technology mapping in a business environment. We defined ERP as a software tool, which has to provide business solution but not necessarily an integration of all the departments. Any business process can be classified as management process, operational process and the supportive process. We have gone through entire management process and were enable to bring influencing components to be mapped with a technology for a business solution. Governance, strategic management, and decision making are thoroughly discussed and the need of mapping these components with the ERP is clearly explained. Also we suggest that implementation of this framework might reduce the ERP failures and especially the ERP misfit was completely rectified.

  4. IsoWAN: A NASA Science and Engineering Information and Services Framework

    NASA Technical Reports Server (NTRS)

    Korsmeyer, David J.; Chow, Edward T.; Conroy, Michael P.; Swanson, Keith (Technical Monitor)

    2000-01-01

    We believe that the next evolutionary step in supporting wide-area application and services delivery to customers is a network framework that provides for collocation of applications and services at distinct sites in the network, an interconnection between these sites that is performance optimized for these applications, and value-added services for applications. We use the term IsoWAN to describe an advanced, isolated network interconnect services framework that will enable applications to be more secure, and able to access and be in use in both local and remote environments. The main functions of an IsoWAN are virtual localization of application services, an application service interface, coordinated delivery of applications and associated data to the customer, and supporting collaborative application development for customers. An initial pilot network between three NASA Centers: Ames Research Center, the Jet Propulsion Laboratory, and Marshall Space Flight Center, has been built and its properties will be discussed.

  5. A Multilevel Secure MapReduce Framework for Cross-Domain Information Sharing in the Cloud

    DTIC Science & Technology

    2013-03-01

    analyze data at different security classifications • Topics - Apache Hadoop framework - MLS-aware Hadoop Distributed File System • Concept of...subprojects: - Hadoop Distributed File System, Hadoop MapReduce • Support distributed computing on massive data sets on clusters of commodity computers...Reduce) Apache Hadoop 3 GSAW 2013 Hadoop Architecture 4 GSAW 2013 Name Node Job Tracker Task Tracker Task Tracker Client HDFS

  6. Research Review: A Neuroscience Framework for Pediatric Anxiety Disorders

    ERIC Educational Resources Information Center

    Pine, Daniel S.

    2007-01-01

    Across a range of mammalian species, early developmental variations in fear-related behaviors constrain patterns of anxious behavior throughout life. Individual differences in anxiety among rodents and non-human primates have been shown to reflect early-life influences of genes and the environment on brain circuitry. However, in humans, the manner…

  7. Intervention complexity--a conceptual framework to inform priority-setting in health.

    PubMed

    Gericke, Christian A; Kurowski, Christoph; Ranson, M Kent; Mills, Anne

    2005-04-01

    Health interventions vary substantially in the degree of effort required to implement them. To some extent this is apparent in their financial cost, but the nature and availability of non-financial resources is often of similar importance. In particular, human resource requirements are frequently a major constraint. We propose a conceptual framework for the analysis of interventions according to their degree of technical complexity; this complements the notion of institutional capacity in considering the feasibility of implementing an intervention. Interventions are categorized into four dimensions: characteristics of the basic intervention; characteristics of delivery; requirements on government capacity; and usage characteristics. The analysis of intervention complexity should lead to a better understanding of supply- and demand-side constraints to scaling up, indicate priorities for further research and development, and can point to potential areas for improvement of specific aspects of each intervention to close the gap between the complexity of an intervention and the capacity to implement it. The framework is illustrated using the examples of scaling up condom social marketing programmes, and the DOTS strategy for tuberculosis control in highly resource-constrained countries. The framework could be used as a tool for policy-makers, planners and programme managers when considering the expansion of existing projects or the introduction of new interventions. Intervention complexity thus complements the considerations of burden of disease, cost-effectiveness, affordability and political feasibility in health policy decision-making. Reducing the technical complexity of interventions will be crucial to meeting the health-related Millennium Development Goals.

  8. Tailoring Healthy Workplace Interventions to Local Healthcare Settings: A Complexity Theory-Informed Workplace of Well-Being Framework.

    PubMed

    Brand, Sarah L; Fleming, Lora E; Wyatt, Katrina M

    2015-01-01

    Many healthy workplace interventions have been developed for healthcare settings to address the consistently low scores of healthcare professionals on assessments of mental and physical well-being. Complex healthcare settings present challenges for the scale-up and spread of successful interventions from one setting to another. Despite general agreement regarding the importance of the local setting in affecting intervention success across different settings, there is no consensus on what it is about a local setting that needs to be taken into account to design healthy workplace interventions appropriate for different local settings. Complexity theory principles were used to understand a workplace as a complex adaptive system and to create a framework of eight domains (system characteristics) that affect the emergence of system-level behaviour. This Workplace of Well-being (WoW) framework is responsive and adaptive to local settings and allows a shared understanding of the enablers and barriers to behaviour change by capturing local information for each of the eight domains. We use the results of applying the WoW framework to one workplace, a UK National Health Service ward, to describe the utility of this approach in informing design of setting-appropriate healthy workplace interventions that create workplaces conducive to healthy behaviour change.

  9. Information and Theory of Organizations as a Conceptual Framework for System Design of Automated Medical Information Systems

    PubMed Central

    Fuchs-Kittowski, K.

    1982-01-01

    To this date the design of hospital information systems has been the province of hardware and software specialists. The theories of information and social organizations can contribute to the design of information systems by stressing the principles of formalization and the differences between routine and non-routine tasks, with their accompanying effect on worker satisfaction and organizational efficiency. In particular, the difference between the needs of research hospitals and care hospitals will be discussed. Note: This is an edited version of the longer paper prepared by Professor Fuchs-Kittowski. The editing was done by Vincent Brannigan of the University of Maryland. Professor Fuchs-Kittowski was unable to review the edited version, so this version should not be quoted without reference to the original paper. Please contact Professor Brannigan for a copy of the original paper. All citations are those of the original paper.

  10. How neuroscience is taught to North American dental students: results of the Basic Science Survey Series.

    PubMed

    Gould, Douglas J; Clarkson, Mackenzie J; Hutchins, Bob; Lambert, H Wayne

    2014-03-01

    The purpose of this study was to determine how North American dental students are taught neuroscience during their preclinical dental education. This survey represents one part of a larger research project, the Basic Science Survey Series for Dentistry, which covers all of the biomedical science coursework required of preclinical students in North American dental schools. Members of the Section on Anatomical Sciences of the American Dental Education Association assembled, distributed, and analyzed the neuroscience survey, which had a 98.5 percent response from course directors of the sixty-seven North American dental schools. The eighteen-item instrument collected demographic data on the course directors, information on the content in each course, and information on how neuroscience content is presented. Findings indicate that 1) most neuroscience instruction is conducted by non-dental school faculty members; 2) large content variability exists between programs; and 3) an increase in didactic instruction, integrated curricula, and use of computer-aided instruction is occurring. It is anticipated that the information derived from the survey will help guide neuroscience curricula in dental schools and aid in identifying appropriate content.

  11. Increasing the safety of healthcare information systems through improved procurement: toward a framework for selection of safe healthcare systems.

    PubMed

    Kushniruk, Andre; Beuscart-Zéphir, Marie-Catherine; Grzes, Alexis; Borycki, Elizabeth; Watbled, Ludivine; Kannry, Joseph

    2010-01-01

    In this article, we describe a framework that we have developed for improving the effectiveness of critical decision-making in selecting information systems. In our framework, we consider system selection in terms of strength of evidence obtained from the testing of candidate systems in order to reduce risk and increase the likelihood of selection and implementation of an effective and safe system. Two case studies, one from a major North American hospital and one from a major European hospital, are presented to illustrate how methods such as usability testing can be applied to improve system selection as well as customization (through early identification of system-organization mismatches and error-prone system features). It is argued that technology-organization fit and consideration of the potential for technology-induced error should be important selection criteria in the procurement process. Here, implications are discussed for the development of improved procurement processes to lead to safer healthcare systems.

  12. An ecofeminist conceptual framework to explore gendered environmental health inequities in urban settings and to inform healthy public policy.

    PubMed

    Chircop, Andrea

    2008-06-01

    This theoretical exploration is an attempt to conceptualize the link between gender and urban environmental health. The proposed ecofeminist framework enables an understanding of the link between the urban physical and social environments and health inequities mediated by gender and socioeconomic status. This framework is proposed as a theoretical magnifying glass to reveal the underlying logic that connects environmental exploitation on the one hand, and gendered health inequities on the other. Ecofeminism has the potential to reveal an inherent, normative conceptual analysis and argumentative justification of western society that permits the oppression of women and the exploitation of the environment. This insight will contribute to a better understanding of the mechanisms underlying gendered environmental health inequities and inform healthy public policy that is supportive of urban environmental health, particularly for low-income mothers.

  13. Examining the functionality of the DeLone and McLean information system success model as a framework for synthesis in nursing information and communication technology research.

    PubMed

    Booth, Richard G

    2012-06-01

    In this review, studies examining information and communication technology used by nurses in clinical practice were examined. Overall, a total of 39 studies were assessed spanning a time period from 1995 to 2008. The impacts of the various health information and communication technology evaluated by individual studies were synthesized using the DeLone and McLean's six-dimensional framework for evaluating information systems success (ie, System Quality, Information Quality, Service Quality, Use, User Satisfaction, and Net Benefits). Overall, the majority of researchers reported results related to the overall Net Benefits (positive, negative, and indifferent) of the health information and communication technology used by nurses. Attitudes and user satisfaction with technology were also commonly measured attributes. The current iteration of DeLone and McLean model is effective at synthesizing basic elements of health information and communication technology use by nurses. Regardless, the current model lacks the sociotechnical sensitivity to capture deeper nurse-technology relationalities. Limitations and recommendations are provided for researchers considering using the DeLone and McLean model for evaluating health information and communication technology used by nurses.

  14. Intervention complexity--a conceptual framework to inform priority-setting in health.

    PubMed Central

    Gericke, Christian A.; Kurowski, Christoph; Ranson, M. Kent; Mills, Anne

    2005-01-01

    Health interventions vary substantially in the degree of effort required to implement them. To some extent this is apparent in their financial cost, but the nature and availability of non-financial resources is often of similar importance. In particular, human resource requirements are frequently a major constraint. We propose a conceptual framework for the analysis of interventions according to their degree of technical complexity; this complements the notion of institutional capacity in considering the feasibility of implementing an intervention. Interventions are categorized into four dimensions: characteristics of the basic intervention; characteristics of delivery; requirements on government capacity; and usage characteristics. The analysis of intervention complexity should lead to a better understanding of supply- and demand-side constraints to scaling up, indicate priorities for further research and development, and can point to potential areas for improvement of specific aspects of each intervention to close the gap between the complexity of an intervention and the capacity to implement it. The framework is illustrated using the examples of scaling up condom social marketing programmes, and the DOTS strategy for tuberculosis control in highly resource-constrained countries. The framework could be used as a tool for policy-makers, planners and programme managers when considering the expansion of existing projects or the introduction of new interventions. Intervention complexity thus complements the considerations of burden of disease, cost-effectiveness, affordability and political feasibility in health policy decision-making. Reducing the technical complexity of interventions will be crucial to meeting the health-related Millennium Development Goals. PMID:15868020

  15. A Framework for Information Distribution, Task Execution and Decision Making in Multi-Robot Systems

    NASA Astrophysics Data System (ADS)

    Rambow, Matthias; Rohrmüller, Florian; Kourakos, Omiros; Bršcic, Drazen; Wollherr, Dirk; Hirche, Sandra; Buss, Martin

    Robotic systems operating in the real-world have to cope with unforeseen events by determining appropriate decisions based on noisy or partial knowledge. In this respect high functional robots are equipped with many sensors and actuators and run multiple processing modules in parallel. The resulting complexity is even further increased in case of cooperative multi-robot systems, since mechanisms for joint operation are needed. In this paper a complete and modular framework that handles this complexity in multi-robot systems is presented. It provides efficient exchange of generated data as well as a generic scheme for task execution and robot coordination.

  16. A Framework for Information Retrieval and Knowledge Discovery from Online Healthcare Forums

    ERIC Educational Resources Information Center

    Sampathkumar, Hariprasad

    2016-01-01

    Information used to assist biomedical and clinical research has largely comprised of data available in published sources like scientific papers and journals, or in clinical sources like patient health records, lab reports and discharge summaries. Information from such sources, though extensive and organized, is often not readily available due to…

  17. A Theory of Information Quality and a Framework for Its Implementation in the Requirements Engineering Process

    ERIC Educational Resources Information Center

    Grenn, Michael W.

    2013-01-01

    This dissertation introduces a theory of information quality to explain macroscopic behavior observed in the systems engineering process. The theory extends principles of Shannon's mathematical theory of communication [1948] and statistical mechanics to information development processes concerned with the flow, transformation, and meaning of…

  18. Towards a Better Conceptual Framework for Understanding Relevance for Information Science Research.

    ERIC Educational Resources Information Center

    Froehlich, Thomas J.

    1991-01-01

    Discusses the history of information science and its understanding of and approach to relevance; explains human categorization theory and applies it to the idea of relevance; shows that information science research is flawed because it fails to adequately explain experience; and suggests implications for future research. (17 references) (LRW)

  19. Aggression, science, and law: The origins framework. Introduction.

    PubMed

    Victoroff, Jeff

    2009-01-01

    Human societies have formalized instincts for compliance with reciprocal altruism in laws that sanction some aggression and not other aggression. Neuroscience makes steady advances toward measurements of various aspects of brain function pertinent to the aggressive behaviors that laws are designed to regulate. Consciousness, free will, rationality, intent, reality testing, empathy, moral reasoning, and capacity for self-control are somewhat subject to empirical assessment. The question becomes: how should law accommodate the wealth of information regarding these elements of mind that the science of aggression increasingly makes available? This essay discusses the evolutionary purpose of aggression, the evolutionary purpose of law, the problematic assumptions of the mens rea doctrine, and the prospects for applying the neuroscience of aggression toward the goal of equal justice for unequal minds. Nine other essays are introduced, demonstrating how each of them fits into the framework of the permanent debate about neuroscience and justice. It is concluded that advances in the science of human aggression will have vital, but biologically limited, impact on the provision of justice.

  20. A framework of pediatric hospital discharge care informed by legislation, research, and practice.

    PubMed

    Berry, Jay G; Blaine, Kevin; Rogers, Jayne; McBride, Sarah; Schor, Edward; Birmingham, Jackie; Schuster, Mark A; Feudtner, Chris

    2014-10-01

    To our knowledge, no widely used pediatric standards for hospital discharge care exist, despite nearly 10 000 pediatric discharges per day in the United States. This lack of standards undermines the quality of pediatric hospital discharge, hinders quality-improvement efforts, and adversely affects the health and well-being of children and their families after they leave the hospital. In this article, we first review guidance regarding the discharge process for adult patients, including federal law within the Social Security Act that outlines standards for hospital discharge; a variety of toolkits that aim to improve discharge care; and the research evidence that supports the discharge process. We then outline a framework within which to organize the diverse activities that constitute discharge care to be executed throughout the hospitalization of a child from admission to the actual discharge. In the framework, we describe processes to (1) initiate pediatric discharge care, (2) develop discharge care plans, (3) monitor discharge progress, and (4) finalize discharge. We contextualize these processes with a clinical case of a child undergoing hospital discharge. Use of this narrative review will help pediatric health care professionals (eg, nurses, social workers, and physicians) move forward to better understand what works and what does not during hospital discharge for children, while steadily improving their quality of care and health outcomes.

  1. Optimization and optimal statistics in neuroscience

    NASA Astrophysics Data System (ADS)

    Brookings, Ted

    Complex systems have certain common properties, with power law statistics being nearly ubiquitous. Despite this commonality, we show that a variety of mechanisms can be responsible for complexity, illustrated by the example of a lattice on a Cayley Tree. Because of this, analysis must probe more deeply than merely looking for power laws, instead details of the dynamics must be examined. We show how optimality---a frequently-overlooked source of complexity---can produce typical features such as power laws, and describe inherent trade-offs in optimal systems, such as performance vs. robustness to rare disturbances. When applied to biological systems such as the nervous system, optimality is particularly appropriate because so many systems have identifiable purpose. We show that the "grid cells" in rats are extremely efficient in storing position information. Assuming the system to be optimal allows us to describe the number and organization of grid cells. By analyzing systems from an optimal perspective provides insights that permit description of features that would otherwise be difficult to observe. As well, careful analysis of complex systems requires diligent avoidance of assumptions that are unnecessary or unsupported. Attributing unwarranted meaning to ambiguous features, or assuming the existence of a priori constraints may quickly lead to faulty results. By eschewing unwarranted and unnecessary assumptions about the distribution of neural activity and instead carefully integrating information from EEG and fMRI, we are able to dramatically improve the quality of source-localization. Thus maintaining a watchful eye towards principles of optimality, while avoiding unnecessary statistical assumptions is an effective theoretical approach to neuroscience.

  2. Strategies for Fostering Synergy between Neuroscience Programs and Chemistry Departments

    PubMed Central

    Ulness, Darin J.; Mach, Julie R.

    2011-01-01

    The successful model of the Neuroscience Program at Concordia College is used as a source of illustrative examples in a presentation of strategies to foster synergy between neuroscience programs and chemistry departments. Chemistry is an increasing voice in the dialog of modern neuroscience. To be well-prepared to engage in this dialog, students must have strong chemistry training and be comfortable applying it to situations in neuroscience. The strategies presented here are designed to stimulate thought and discussion in the undergraduate neuroscience education community. Hopefully this will lead to greater interaction between chemistry and neuroscience at the undergraduate level in other institutions. PMID:23626488

  3. Mapping the semantic structure of cognitive neuroscience.

    PubMed

    Beam, Elizabeth; Appelbaum, L Gregory; Jack, Jordynn; Moody, James; Huettel, Scott A

    2014-09-01

    Cognitive neuroscience, as a discipline, links the biological systems studied by neuroscience to the processing constructs studied by psychology. By mapping these relations throughout the literature of cognitive neuroscience, we visualize the semantic structure of the discipline and point to directions for future research that will advance its integrative goal. For this purpose, network text analyses were applied to an exhaustive corpus of abstracts collected from five major journals over a 30-month period, including every study that used fMRI to investigate psychological processes. From this, we generate network maps that illustrate the relationships among psychological and anatomical terms, along with centrality statistics that guide inferences about network structure. Three terms--prefrontal cortex, amygdala, and anterior cingulate cortex--dominate the network structure with their high frequency in the literature and the density of their connections with other neuroanatomical terms. From network statistics, we identify terms that are understudied compared with their importance in the network (e.g., insula and thalamus), are underspecified in the language of the discipline (e.g., terms associated with executive function), or are imperfectly integrated with other concepts (e.g., subdisciplines like decision neuroscience that are disconnected from the main network). Taking these results as the basis for prescriptive recommendations, we conclude that semantic analyses provide useful guidance for cognitive neuroscience as a discipline, both by illustrating systematic biases in the conduct and presentation of research and by identifying directions that may be most productive for future research.

  4. A NEW FRAMEWORK FOR URBAN SUSTAINABILITY ASSESSMENTS: LINKING COMPLEXITY, INFORMATION AND POLICY

    EPA Science Inventory

    Urban systems emerge as distinct entities from the complex interactions among social, economic and cultural attributes, and information, energy and material stocks and flows that operate on different temporal and spatial scales. Such complexity poses a challenge to identify the...

  5. When Neuroscience 'Touches' Architecture: From Hapticity to a Supramodal Functioning of the Human Brain.

    PubMed

    Papale, Paolo; Chiesi, Leonardo; Rampinini, Alessandra C; Pietrini, Pietro; Ricciardi, Emiliano

    2016-01-01

    In the last decades, the rapid growth of functional brain imaging methodologies allowed cognitive neuroscience to address open questions in philosophy and social sciences. At the same time, novel insights from cognitive neuroscience research have begun to influence various disciplines, leading to a turn to cognition and emotion in the fields of planning and architectural design. Since 2003, the Academy of Neuroscience for Architecture has been supporting 'neuro-architecture' as a way to connect neuroscience and the study of behavioral responses to the built environment. Among the many topics related to multisensory perceptual integration and embodiment, the concept of hapticity was recently introduced, suggesting a pivotal role of tactile perception and haptic imagery in architectural appraisal. Arguments have thus risen in favor of the existence of shared cognitive foundations between hapticity and the supramodal functional architecture of the human brain. Precisely, supramodality refers to the functional feature of defined brain regions to process and represent specific information content in a more abstract way, independently of the sensory modality conveying such information to the brain. Here, we highlight some commonalities and differences between the concepts of hapticity and supramodality according to the distinctive perspectives of architecture and cognitive neuroscience. This comparison and connection between these two different approaches may lead to novel observations in regard to people-environment relationships, and even provide empirical foundations for a renewed evidence-based design theory.

  6. When Neuroscience ‘Touches’ Architecture: From Hapticity to a Supramodal Functioning of the Human Brain

    PubMed Central

    Papale, Paolo; Chiesi, Leonardo; Rampinini, Alessandra C.; Pietrini, Pietro; Ricciardi, Emiliano

    2016-01-01

    In the last decades, the rapid growth of functional brain imaging methodologies allowed cognitive neuroscience to address open questions in philosophy and social sciences. At the same time, novel insights from cognitive neuroscience research have begun to influence various disciplines, leading to a turn to cognition and emotion in the fields of planning and architectural design. Since 2003, the Academy of Neuroscience for Architecture has been supporting ‘neuro-architecture’ as a way to connect neuroscience and the study of behavioral responses to the built environment. Among the many topics related to multisensory perceptual integration and embodiment, the concept of hapticity was recently introduced, suggesting a pivotal role of tactile perception and haptic imagery in architectural appraisal. Arguments have thus risen in favor of the existence of shared cognitive foundations between hapticity and the supramodal functional architecture of the human brain. Precisely, supramodality refers to the functional feature of defined brain regions to process and represent specific information content in a more abstract way, independently of the sensory modality conveying such information to the brain. Here, we highlight some commonalities and differences between the concepts of hapticity and supramodality according to the distinctive perspectives of architecture and cognitive neuroscience. This comparison and connection between these two different approaches may lead to novel observations in regard to people–environment relationships, and even provide empirical foundations for a renewed evidence-based design theory. PMID:27375542

  7. Computational Neuroscience: Modeling the Systems Biology of Synaptic Plasticity

    PubMed Central

    Kotaleski, Jeanette Hellgren; Blackwell, Kim T.

    2016-01-01

    Preface Synaptic plasticity is a mechanism proposed to underlie learning and memory. The complexity of the interactions between ion channels, enzymes, and genes involved in synaptic plasticity impedes a deep understanding of this phenomenon. Computer modeling is an approach to investigate the information processing that is performed by signaling pathways underlying synaptic plasticity. In the past few years, new software developments that blend computational neuroscience techniques with systems biology techniques have allowed large-scale, quantitative modeling of synaptic plasticity in neurons. We highlight significant advancements produced by these modeling efforts and introduce promising approaches that utilize advancements in live cell imaging. PMID:20300102

  8. The marmoset monkey as a model for visual neuroscience

    PubMed Central

    Mitchell, Jude F.; Leopold, David A.

    2015-01-01

    The common marmoset (Callithrix jacchus) has been valuable as a primate model in biomedical research. Interest in this species has grown recently, in part due to the successful demonstration of transgenic marmosets. Here we examine the prospects of the marmoset model for visual neuroscience research, adopting a comparative framework to place the marmoset within a broader evolutionary context. The marmoset’s small brain bears most of the organizational features of other primates, and its smooth surface offers practical advantages over the macaque for areal mapping, laminar electrode penetration, and two-photon and optical imaging. Behaviorally, marmosets are more limited at performing regimented psychophysical tasks, but do readily accept the head restraint that is necessary for accurate eye tracking and neurophysiology, and can perform simple discriminations. Their natural gaze behavior closely resembles that of other primates, with a tendency to focus on objects of social interest including faces. Their immaturity at birth and routine twinning also makes them ideal for the study of postnatal visual development. These experimental factors, together with the theoretical advantages inherent in comparing anatomy, physiology, and behavior across related species, make the marmoset an excellent model for visual neuroscience. PMID:25683292

  9. Inter-disciplinarity in sport sciences: The neuroscience example.

    PubMed

    Fargier, Patrick; Collet, Christian; Moran, Aidan; Massarelli, Raphaël

    2017-02-01

    Sport science is a relatively recent domain of research born from the interactions of different disciplines related to sport. According to the European College of sport science ( http://sport-science.org ): "scientific excellence in sport science is based on disciplinary competence embedded in the understanding that its essence lies in its multi- and interdisciplinary character". In this respect, the scientific domain of neuroscience has been developed within such a framework. Influenced by the apparent homogeneity of this scientific domain, the present paper reviews three important research topics in sport from a neuroscientific perspective. These topics concern the relationship between mind and motor action, the effects of cognition on motor performance, and the study of certain mental states (such as the "flow" effect, see below) and motor control issues to understand, for example, the neural substrates of the vertical squat jump. Based on the few extensive examples shown in this review, we argue that by adopting an interdisciplinary paradigm, sport science can emulate neuroscience in becoming a mono-discipline.

  10. An Integrative Framework for Bayesian Variable Selection with Informative Priors for Identifying Genes and Pathways

    PubMed Central

    Ander, Bradley P.; Zhang, Xiaoshuai; Xue, Fuzhong; Sharp, Frank R.; Yang, Xiaowei

    2013-01-01

    The discovery of genetic or genomic markers plays a central role in the development of personalized medicine. A notable challenge exists when dealing with the high dimensionality of the data sets, as thousands of genes or millions of genetic variants are collected on a relatively small number of subjects. Traditional gene-wise selection methods using univariate analyses face difficulty to incorporate correlational, structural, or functional structures amongst the molecular measures. For microarray gene expression data, we first summarize solutions in dealing with ‘large p, small n’ problems, and then propose an integrative Bayesian variable selection (iBVS) framework for simultaneously identifying causal or marker genes and regulatory pathways. A novel partial least squares (PLS) g-prior for iBVS is developed to allow the incorporation of prior knowledge on gene-gene interactions or functional relationships. From the point view of systems biology, iBVS enables user to directly target the joint effects of multiple genes and pathways in a hierarchical modeling diagram to predict disease status or phenotype. The estimated posterior selection probabilities offer probabilitic and biological interpretations. Both simulated data and a set of microarray data in predicting stroke status are used in validating the performance of iBVS in a Probit model with binary outcomes. iBVS offers a general framework for effective discovery of various molecular biomarkers by combining data-based statistics and knowledge-based priors. Guidelines on making posterior inferences, determining Bayesian significance levels, and improving computational efficiencies are also discussed. PMID:23844055

  11. Advancing oral medicine through informatics and information technology: a proposed framework and strategy.

    PubMed

    Schleyer, T; Mattsson, U; Ní Ríordáin, R; Brailo, V; Glick, M; Zain, R B; Jontell, M

    2011-04-01

    The implementation of information technology in healthcare is a significant focus for many nations around the world. However, information technology support for clinical care, research and education in oral medicine is currently poorly developed. This situation hampers our ability to transform oral medicine into a 'learning healthcare discipline' in which the divide between clinical practice and research is diminished and, ultimately, eliminated. This paper reviews the needs of and requirements for information technology support of oral medicine and proposes an agenda designed to meet those needs. For oral medicine, this agenda includes analyzing and reviewing current clinical and documentation practices, working toward progressively standardizing clinical data, and helping define requirements for oral medicine systems. IT professionals can contribute by conducting baseline studies about the use of electronic systems, helping develop controlled vocabularies and ontologies, and designing, implementing, and evaluating novel systems centered on the needs of clinicians, researchers and educators. Successfully advancing IT support for oral medicine will require close coordination and collaboration among oral medicine professionals, information technology professionals, system vendors, and funding agencies. If current barriers and obstacles are overcome, practice and research in oral medicine stand ready to derive significant benefits from the application of information technology.

  12. Neuroscience and the fallacies of functionalism.

    PubMed

    Reddy, William M

    2010-01-01

    Smail's "On Deep History and the Brain" is rightly critical of the functionalist fallacies that have plagued evolutionary theory, sociobiology, and evolutionary psychology. However, his attempt to improve on these efforts relies on functional explanations that themselves oversimplify the lessons of neuroscience. In addition, like explanations in evolutionary psychology, they are highly speculative and cannot be confirmed or disproved by evidence. Neuroscience research is too diverse to yield a single picture of brain functioning. Some recent developments in neuroscience research, however, do suggest that cognitive processing provides a kind of “operating system” that can support a great diversity of cultural material. These developments include evidence of “top-down” processing in motor control, in visual processing, in speech recognition, and in “emotion regulation.” The constraints that such a system may place on cultural learning and transmission are worth investigating. At the same time, historians are well advised to remain wary of the pitfalls of functionalism.

  13. Current emotion research in cultural neuroscience

    PubMed Central

    Chiao, Joan Y.

    2013-01-01

    Classical theories of emotion have long debated the extent to which human emotion is a universal or culturally-constructed experience. Recent advances in emotion research in cultural neuroscience highlight several aspects of emotional generation and experience that are both phylogenetically conserved as well as constructed within human cultural contexts. This review highlights theories and methods from cultural neuroscience that examine how cultural and biological processes shape emotional generation, experience and regulation across multiple time scales. Recent advances in the neurobiological basis of culture-bound syndromes, such as Hwa-Byung (fire illness), provide further novel insights into emotion and mental health across cultures. Implications of emotion research in cultural neuroscience for population health disparities in psychopathology and global mental health will be discussed. PMID:26346827

  14. Security implications and governance of cognitive neuroscience.

    PubMed

    Kosal, Margaret E; Huang, Jonathan Y

    2015-01-01

    In recent years, significant efforts have been made toward elucidating the potential of the human brain. Spanning fields as disparate as psychology, biomedicine, computer science, mathematics, electrical engineering, and chemistry, research venturing into the growing domains of cognitive neuroscience and brain research has become fundamentally interdisciplinary. Among the most interesting and consequential applications to international security are the military and defense community's interests in the potential of cognitive neuroscience findings and technologies. In the United States, multiple governmental agencies are actively pursuing such endeavors, including the Department of Defense, which has invested over $3 billion in the last decade to conduct research on defense-related innovations. This study explores governance and security issues surrounding cognitive neuroscience research with regard to potential security-related applications and reports scientists' views on the role of researchers in these areas through a survey of over 200 active cognitive neuroscientists.

  15. Framework for Modeling High-Impact, Low-Frequency Power Grid Events to Support Risk-Informed Decisions

    SciTech Connect

    Veeramany, Arun; Unwin, Stephen D.; Coles, Garill A.; Dagle, Jeffery E.; Millard, W. David; Yao, Juan; Glantz, Clifford S.; Gourisetti, Sri Nikhil Gup

    2015-12-03

    Natural and man-made hazardous events resulting in loss of grid infrastructure assets challenge the electric power grid’s security and resilience. However, the planning and allocation of appropriate contingency resources for such events requires an understanding of their likelihood and the extent of their potential impact. Where these events are of low likelihood, a risk-informed perspective on planning can be problematic as there exists an insufficient statistical basis to directly estimate the probabilities and consequences of their occurrence. Since risk-informed decisions rely on such knowledge, a basis for modeling the risk associated with high-impact low frequency events (HILFs) is essential. Insights from such a model can inform where resources are most rationally and effectively expended. The present effort is focused on development of a HILF risk assessment framework. Such a framework is intended to provide the conceptual and overarching technical basis for the development of HILF risk models that can inform decision makers across numerous stakeholder sectors. The North American Electric Reliability Corporation (NERC) 2014 Standard TPL-001-4 considers severe events for transmission reliability planning, but does not address events of such severity that they have the potential to fail a substantial fraction of grid assets over a region, such as geomagnetic disturbances (GMD), extreme seismic events, and coordinated cyber-physical attacks. These are beyond current planning guidelines. As noted, the risks associated with such events cannot be statistically estimated based on historic experience; however, there does exist a stable of risk modeling techniques for rare events that have proven of value across a wide range of engineering application domains. There is an active and growing interest in evaluating the value of risk management techniques in the State transmission planning and emergency response communities, some of this interest in the context of

  16. Non-extensitivity vs. informative moments for financial models —A unifying framework and empirical results

    NASA Astrophysics Data System (ADS)

    Herrmann, K.

    2009-11-01

    Information-theoretic approaches still play a minor role in financial market analysis. Nonetheless, there have been two very similar approaches evolving during the last years, one in the so-called econophysics and the other in econometrics. Both generalize the notion of GARCH processes in an information-theoretic sense and are able to capture kurtosis better than traditional models. In this article we present both approaches in a more general framework. The latter allows the derivation of a wide range of new models. We choose a third model using an entropy measure suggested by Kapur. In an application to financial market data, we find that all considered models - with similar flexibility in terms of skewness and kurtosis - lead to very similar results.

  17. Framework for modeling high-impact, low-frequency power grid events to support risk-informed decisions

    SciTech Connect

    Veeramany, Arun; Unwin, Stephen D.; Coles, Garill A.; Dagle, Jeffery E.; Millard, David W.; Yao, Juan; Glantz, Cliff S.; Gourisetti, Sri N. G.

    2016-06-25

    Natural and man-made hazardous events resulting in loss of grid infrastructure assets challenge the security and resilience of the electric power grid. However, the planning and allocation of appropriate contingency resources for such events requires an understanding of their likelihood and the extent of their potential impact. Where these events are of low likelihood, a risk-informed perspective on planning can be difficult, as the statistical basis needed to directly estimate the probabilities and consequences of their occurrence does not exist. Because risk-informed decisions rely on such knowledge, a basis for modeling the risk associated with high-impact, low-frequency events (HILFs) is essential. Insights from such a model indicate where resources are most rationally and effectively expended. A risk-informed realization of designing and maintaining a grid resilient to HILFs will demand consideration of a spectrum of hazards/threats to infrastructure integrity, an understanding of their likelihoods of occurrence, treatment of the fragilities of critical assets to the stressors induced by such events, and through modeling grid network topology, the extent of damage associated with these scenarios. The model resulting from integration of these elements will allow sensitivity assessments based on optional risk management strategies, such as alternative pooling, staging and logistic strategies, and emergency contingency planning. This study is focused on the development of an end-to-end HILF risk-assessment framework. Such a framework is intended to provide the conceptual and overarching technical basis for the development of HILF risk models that can inform decision-makers across numerous stakeholder groups in directing resources optimally towards the management of risks to operational continuity.

  18. Virtual reality in behavioral neuroscience and beyond.

    PubMed

    Tarr, Michael J; Warren, William H

    2002-11-01

    Virtual reality (VR) has finally come of age for serious applications in the behavioral neurosciences. After capturing the public imagination a decade ago, enthusiasm for VR flagged due to hardware limitations, an absent commercial market and manufacturers who dropped the mass-market products that normally drive technological development. Recently, however, improvements in computer speed, quality of head-mounted displays and wide-area tracking systems have made VR attractive for both research and real-world applications in neuroscience, cognitive science and psychology. New and exciting applications for VR have emerged in research, training, rehabilitation, teleoperation, virtual archeology and tele-immersion.

  19. Neuroscience and legal determination of criminal responsibility.

    PubMed

    Eastman, Nigel; Campbell, Colin

    2006-04-01

    Neuroscience is increasingly identifying associations between biology and violence that appear to offer courts evidence relevant to criminal responsibility. In addition, in a policy era of 'zero tolerance of risk', evidence of biological abnormality in some of those who are violent, or biological markers of violence, may be seized on as a possible basis for preventive detention in the interest of public safety. However, there is a mismatch between questions that the courts and society wish answered and those that neuroscience is capable of answering. This poses a risk to the proper exercise of justice and to civil liberties.

  20. Biomechanics and neuroscience: a failure to communicate.

    PubMed

    Enoka, Roger M

    2004-01-01

    This commentary is the third in a series commemorating the 50th anniversary of the American College of Sports Medicine. The charge to the commentators was to provide insight on the origins and directions in the fields of physical activity and disease prevention (Haskell), applied exercise physiology (Wilmore), biomechanics and neuroscience (Enoka), and the physiology of exercise (Holloszy). In contrast to the innovation and vitality that characterizes the activities of the College in most of these fields, the inclusion of biomechanics and neuroscience as essential elements in realizing the mission of the College has been much less impressive. What we have here, as the saying goes, is a failure to communicate.