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Sample records for neuroscience information framework

  1. 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. PMID:18958629

  2. 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

  3. 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

  4. 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.…

  5. 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

  6. 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. PMID:25018728

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

    PubMed Central

    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. PMID:24009581

  8. 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…

  9. Neurosciences

    MedlinePlus

    Neurosciences refers to the branch of medicine that focuses on the nervous system. The nervous system is ... meningitis Stroke DIAGNOSIS AND TESTING Neurologists and other neuroscience specialists use special tests and imaging techniques to ...

  10. Neurosciences

    MedlinePlus

    ... this page: //medlineplus.gov/ency/article/007456.htm Neurosciences To use the sharing features on this page, please enable JavaScript. Neurosciences refers to the branch of medicine that focuses ...

  11. 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. PMID:26739133

  12. 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. PMID:19144585

  13. 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…

  14. 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…

  15. How Social Neuroscience Can Inform Theories of Social Comparison

    PubMed Central

    Swencionis, Jillian K.; Fiske, Susan T.

    2016-01-01

    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. PMID:24486767

  16. 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…

  17. 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

  18. Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework.

    PubMed

    Dehaene, S; Naccache, L

    2001-04-01

    This introductory chapter attempts to clarify the philosophical, empirical, and theoretical bases on which a cognitive neuroscience approach to consciousness can be founded. We isolate three major empirical observations that any theory of consciousness should incorporate, namely (1) a considerable amount of processing is possible without consciousness, (2) attention is a prerequisite of consciousness, and (3) consciousness is required for some specific cognitive tasks, including those that require durable information maintenance, novel combinations of operations, or the spontaneous generation of intentional behavior. We then propose a theoretical framework that synthesizes those facts: the hypothesis of a global neuronal workspace. This framework postulates that, at any given time, many modular cerebral networks are active in parallel and process information in an unconscious manner. An information becomes conscious, however, if the neural population that represents it is mobilized by top-down attentional amplification into a brain-scale state of coherent activity that involves many neurons distributed throughout the brain. The long-distance connectivity of these 'workspace neurons' can, when they are active for a minimal duration, make the information available to a variety of processes including perceptual categorization, long-term memorization, evaluation, and intentional action. We postulate that this global availability of information through the workspace is what we subjectively experience as a conscious state. A complete theory of consciousness should explain why some cognitive and cerebral representations can be permanently or temporarily inaccessible to consciousness, what is the range of possible conscious contents, how they map onto specific cerebral circuits, and whether a generic neuronal mechanism underlies all of them. We confront the workspace model with those issues and identify novel experimental predictions. Neurophysiological, anatomical, and

  19. KInNeSS: a modular framework for computational neuroscience.

    PubMed

    Versace, Massimiliano; Ames, Heather; Léveillé, Jasmin; Fortenberry, Bret; Gorchetchnikov, Anatoli

    2008-01-01

    Making use of very detailed neurophysiological, anatomical, and behavioral data to build biologically-realistic computational models of animal behavior is often a difficult task. Until recently, many software packages have tried to resolve this mismatched granularity with different approaches. This paper presents KInNeSS, the KDE Integrated NeuroSimulation Software environment, as an alternative solution to bridge the gap between data and model behavior. This open source neural simulation software package provides an expandable framework incorporating features such as ease of use, scalability, an XML based schema, and multiple levels of granularity within a modern object oriented programming design. KInNeSS is best suited to simulate networks of hundreds to thousands of branched multi-compartmental neurons with biophysical properties such as membrane potential, voltage-gated and ligand-gated channels, the presence of gap junctions or ionic diffusion, neuromodulation channel gating, the mechanism for habituative or depressive synapses, axonal delays, and synaptic plasticity. KInNeSS outputs include compartment membrane voltage, spikes, local-field potentials, and current source densities, as well as visualization of the behavior of a simulated agent. An explanation of the modeling philosophy and plug-in development is also presented. Further development of KInNeSS is ongoing with the ultimate goal of creating a modular framework that will help researchers across different disciplines to effectively collaborate using a modern neural simulation platform. PMID:18695948

  20. 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

  1. 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

  2. The RDoC framework: facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology

    PubMed Central

    Cuthbert, Bruce N

    2014-01-01

    In 2008, the National Institute of Mental Health (NIMH) included in its new Strategic Plan the following aim: “Develop, for research purposes, new ways of classifying mental disorders based on dimensions of observable behavior and neurobiological measures”. The implementation of this aim was named the Research Domain Criteria project, or RDoC. RDoC is a programmatic initiative that will fund grants, contracts, early-phase trials, and similar activities for the purpose of generating studies to build a research literature that can inform future versions of psychiatric nosologies based upon neuroscience and behavioral science rather than descriptive phenomenology. RDoC departs markedly from the DSM and ICD processes, in which extensive workgroup meetings generate final and finely-honed sets of diagnoses that are modified in field tests only if problems with clinical utility arise. Rather, in keeping with its provenance as an experimental system, the RDoC provides a framework for conducting research in terms of fundamental circuit-based behavioral dimensions that cut across traditional diagnostic categories. While an important aim of the project is to validate particular dimensions as useful for eventual clinical work, an equally important goal is to provide information and experience about how to conceive and implement such an alternative approach to future diagnostic practices that can harness genetics and neuroscience in the service of more effective treatment and prevention. This paper summarizes the rationale for the RDoC project, its essential features, and potential methods of transitioning from DSM/ICD categories to dimensionally-oriented designs in research studies. PMID:24497240

  3. 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

  4. Addictions Neuroclinical Assessment: A Neuroscience-Based Framework for Addictive Disorders.

    PubMed

    Kwako, Laura E; Momenan, Reza; Litten, Raye Z; Koob, George F; Goldman, David

    2016-08-01

    This article proposes a heuristic framework for the Addictions Neuroclinical Assessment that incorporates key functional domains derived from the neurocircuitry of addiction. We review how addictive disorders (ADs) are presently diagnosed and the need for new neuroclinical measures to differentiate patients who meet clinical criteria for addiction to the same agent while differing in etiology, prognosis, and treatment response. The need for a better understanding of the mechanisms provoking and maintaining addiction, as evidenced by the limitations of current treatments and within-diagnosis clinical heterogeneity, is articulated. In addition, recent changes in the nosology of ADs, challenges to current classification systems, and prior attempts to subtype individuals with ADs are described. Complementary initiatives, including the Research Domain Criteria project, that have established frameworks for the neuroscience of psychiatric disorders are discussed. Three domains-executive function, incentive salience, and negative emotionality-tied to different phases in the cycle of addiction form the core functional elements of ADs. Measurement of these domains in epidemiologic, genetic, clinical, and treatment studies will provide the underpinnings for an understanding of cross-population and temporal variation in addictions, shared mechanisms in addictive disorders, impact of changing environmental influences, and gene identification. Finally, we show that it is practical to implement such a deep neuroclinical assessment using a combination of neuroimaging and performance measures. Neuroclinical assessment is key to reconceptualizing the nosology of ADs on the basis of process and etiology, an advance that can lead to improved prevention and treatment. PMID:26772405

  5. 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)

  6. Can developmental cognitive neuroscience inform intervention for social, emotional and behavioural difficulties (SEBD)?

    PubMed Central

    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 social emotional and behavioural difficulties. A mixed-methods design was used to investigate the perspectives of staff participant-observers in the change process, alongside standardised scores on measures of pupil performance and behaviour. Both qualitative and quantitative results showed reductions in externalising behaviour and improvements in measures of hypothesised underlying cognitive and affective processes. While externalising behaviour improved across subtypes, associated changes in underlying processes differed by subtype, supporting the potential value of neuroscience-informed contributions to intervention planning. PMID:26635493

  7. 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. PMID:26052114

  8. 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. PMID:15590615

  9. 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.

  10. Mining the Mind Research Network: A Novel Framework for Exploring Large Scale, Heterogeneous Translational Neuroscience Research Data Sources

    PubMed Central

    Bockholt, Henry J.; Scully, Mark; Courtney, William; Rachakonda, Srinivas; Scott, Adam; Caprihan, Arvind; Fries, Jill; Kalyanam, Ravi; Segall, Judith M.; de la Garza, Raul; Lane, Susan; Calhoun, Vince D.

    2009-01-01

    A neuroinformatics (NI) system is critical to brain imaging research in order to shorten the time between study conception and results. Such a NI system is required to scale well when large numbers of subjects are studied. Further, when multiple sites participate in research projects organizational issues become increasingly difficult. Optimized NI applications mitigate these problems. Additionally, NI software enables coordination across multiple studies, leveraging advantages potentially leading to exponential research discoveries. The web-based, Mind Research Network (MRN), database system has been designed and improved through our experience with 200 research studies and 250 researchers from seven different institutions. The MRN tools permit the collection, management, reporting and efficient use of large scale, heterogeneous data sources, e.g., multiple institutions, multiple principal investigators, multiple research programs and studies, and multimodal acquisitions. We have collected and analyzed data sets on thousands of research participants and have set up a framework to automatically analyze the data, thereby making efficient, practical data mining of this vast resource possible. This paper presents a comprehensive framework for capturing and analyzing heterogeneous neuroscience research data sources that has been fully optimized for end-users to perform novel data mining. PMID:20461147

  11. 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

  12. Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience.

    PubMed

    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

  13. 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. PMID:26500571

  14. 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

  15. 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…

  16. 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.

  17. Undergraduate Information Literacy: A Teaching Framework

    ERIC Educational Resources Information Center

    McPherson, Karen

    2004-01-01

    In this paper, a framework for the teaching of undergraduate information literacy is proposed. This framework has been developed as a major outcome of the author's PhD research into information literacy issues in general, and an aspect of literacy--information retrieval--in particular. Literature from two disciplines was reviewed as background to…

  18. 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. PMID:18975148

  19. 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…

  20. 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 social…

  1. Cultural Neuroscience

    PubMed Central

    Ames, Daniel L.; Fiske, Susan T.

    2013-01-01

    Cultural neuroscience issues from the apparently incompatible combination of neuroscience and cultural psychology. A brief literature sampling suggests, instead, several preliminary topics that demonstrate proof of possibilities: cultural differences in both lower-level processes (e.g. perception, number representation) and higher-order processes (e.g. inferring others’ emotions, contemplating the self) are beginning to shed new light on both culture and cognition. Candidates for future cultural neuroscience research include cultural variations in the default (resting) network, which may be social; regulation and inhibition of feelings, thoughts, and actions; prejudice and dehumanization; and neural signatures of fundamental warmth and competence judgments. PMID:23874143

  2. 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

  3. Framework for a new dialogue between psychoanalysis and neurosciences: is the combined neuro-psychoanalytic approach the missing link?

    PubMed

    Vaslamatzis, Grigoris

    2007-01-01

    Freud's legacy deriving from his work The project for a scientific psychology (1895) could give a new impetus to the dialogue between psychoanalysis and neurosciences. A rapproachment phase is warrented. Based on the work of psychoanalysts who are themselves neuroscientists (such as Mauro Mancia, Martha Koukkou and Harold Shevrin) or have a long term dialogue with neuroscientists (Arnold Modell), three points of epistemological congruence are described: 1. dualism is no longer a satisfactory solution 2. cautions for the centrality of interpretation (hermeneutics) 3. the self-criticism of neuroscientists. PMID:17976245

  4. Framework for a new dialogue between psychoanalysis and neurosciences: is the combined neuro-psychoanalytic approach the missing link?

    PubMed Central

    Vaslamatzis, Grigoris

    2007-01-01

    Freud's legacy deriving from his work The project for a scientific psychology (1895) could give a new impetus to the dialogue between psychoanalysis and neurosciences. A rapproachment phase is warrented. Based on the work of psychoanalysts who are themselves neuroscientists (such as Mauro Mancia, Martha Koukkou and Harold Shevrin) or have a long term dialogue with neuroscientists (Arnold Modell), three points of epistemological congruence are described: 1. dualism is no longer a satisfactory solution 2. cautions for the centrality of interpretation (hermeneutics) 3. the self-criticism of neuroscientists PMID:17976245

  5. 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

  6. 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…

  7. Toward an organizational cognitive neuroscience.

    PubMed

    Butler, Michael J R; Senior, Carl

    2007-11-01

    The research strategy adopted in this article is to connect two different discourses and the ideas, methods, and outputs they contain-these being cognitive neuroscience and organization theory. The main contribution of the article is to present an agenda for the field of organizational cognitive neuroscience. We define what is meant by the term, outline its background, identify why it is important as a new research direction, and then conclude by drawing on Damasio's levels of life regulation as a framework to bind together existing organizational cognitive neuroscience. The article begins by setting the wider debate behind the emergence of organizational cognitive neuroscience by revisiting the nature-nurture debate and uses Pinker to demonstrate that the connection between mind and matter has not been resolved, that new directions are opening up to better understand human nature, and that organizational cognitive neuroscience is one fruitful path forward. PMID:17717101

  8. 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.

  9. 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

  10. Decision Neuroscience: Neuroeconomics

    PubMed Central

    Smith, David V.; Huettel, Scott A.

    2012-01-01

    Few aspects of human cognition are more personal than the choices we make. Our decisions – from the mundane to the impossibly complex – continually shape the courses of our lives. In recent years, researchers have applied the tools of neuroscience to understand the mechanisms that underlie decision making, as part of the new discipline of decision neuroscience. A primary goal of this emerging field has been to identify the processes that underlie specific decision variables, including the value of rewards, the uncertainty associated with particular outcomes, and the consequences of social interactions. Recent work suggests potential neural substrates that integrate these variables, potentially reflecting a common neural currency for value, to facilitate value comparisons. Despite the successes of decision neuroscience research for elucidating brain mechanisms, significant challenges remain. These include building new conceptual frameworks for decision making, integrating research findings across disparate techniques and species, and extending results from neuroscience to shape economic theory. To overcome these challenges, future research will likely focus on interpersonal variability in decision making, with the eventual goal of creating biologically plausible models for individual choice. PMID:22754602

  11. NEUROSCIENCE: Tips for Neuroscience Neophytes.

    PubMed

    Helmuth, L

    2000-10-27

    It takes half a year to process the more than 12,000 abstract submissions for the Society for Neuroscience meeting. So researchers have to write abstracts precise enough to land them in the appropriate session and attract people to their presentation, yet open-ended enough to cover fresh data come conference time. PMID:17780507

  12. 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.

  13. 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…

  14. 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.

  15. 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

  16. Object-oriented Geographic Information System Framework

    SciTech Connect

    Lurie, Gordon

    2003-03-01

    JeoViewer is an intelligent object-oriented geographic information system (GIS) framework written in Java that provides transparent linkage to any object’s data, behaviors, and optimized spatial geometry representation. Tools are provided for typical GIS functionality, data ingestion, data export, and integration with other frameworks. The primary difference between Jeo Viewer and traditional GIS systems is that traditional GIS systems offer static views of geo-spatial data while JeoViewer can be dynamically coupled to models and live data streams which dynamically change the state of the object which can be immediately represented in JeoViewer. Additionally, JeoViewer’s object-oriented paradigm provides a more natural representation of spatial data. A rich layer hierarchy allows arbitrary grouping of objects based on any relationship as well as the traditional GIS vertical ordering of objects. JeoViewer can run as a standalone product, extended with additional analysis functionality, or embedded in another framework.

  17. Object-oriented Geographic Information System Framework

    Energy Science and Technology Software Center (ESTSC)

    2003-03-01

    JeoViewer is an intelligent object-oriented geographic information system (GIS) framework written in Java that provides transparent linkage to any object’s data, behaviors, and optimized spatial geometry representation. Tools are provided for typical GIS functionality, data ingestion, data export, and integration with other frameworks. The primary difference between Jeo Viewer and traditional GIS systems is that traditional GIS systems offer static views of geo-spatial data while JeoViewer can be dynamically coupled to models and live datamore » streams which dynamically change the state of the object which can be immediately represented in JeoViewer. Additionally, JeoViewer’s object-oriented paradigm provides a more natural representation of spatial data. A rich layer hierarchy allows arbitrary grouping of objects based on any relationship as well as the traditional GIS vertical ordering of objects. JeoViewer can run as a standalone product, extended with additional analysis functionality, or embedded in another framework.« less

  18. [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. PMID:24459945

  19. Managing knowledge in neuroscience.

    PubMed

    Crasto, Chiquito J; Shepherd, Gordon M

    2007-01-01

    Processing text from scientific literature has become a necessity due to the burgeoning amounts of information that are fast becoming available, stemming from advances in electronic information technology. We created a program, NeuroText ( http://senselab.med.yale.edu/textmine/neurotext.pl ), designed specifically to extract information relevant to neuroscience-specific databases, NeuronDB and CellPropDB ( http://senselab.med.yale.edu/senselab/ ), housed at the Yale University School of Medicine. NeuroText extracts relevant information from the Neuroscience literature in a two-step process: each step parses text at different levels of granularity. NeuroText uses an expert-mediated knowledge base and combines the techniques of indexing, contextual parsing, semantic and lexical parsing, and supervised and non-supervised learning to extract information. The constrains, metadata elements, and rules for information extraction are stored in the knowledge base. NeuroText was created as a pilot project to process 3 years of publications in Journal of Neuroscience and was subsequently tested for 40,000 PubMed abstracts. We also present here a template to create domain non-specific knowledge base that when linked to a text-processing tool like NeuroText can be used to extract knowledge in other fields of research. PMID:18368357

  20. Textpresso for Neuroscience: Searching the Full Text of Thousands of Neuroscience Research Papers

    PubMed Central

    Rangarajan, Arun; Teal, Tracy K.; Sternberg, Paul W.

    2009-01-01

    Textpresso is a text-mining system for scientific literature. Its two major features are access to the full text of research papers and the development and use of categories of biological concepts as well as categories that describe or relate objects. A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. Here we describe Textpresso for Neuroscience, part of the core Neuroscience Information Framework (NIF). The Textpresso site currently consists of 67,500 full text papers and 131,300 abstracts. We show that using categories in literature can make a pure keyword query more refined and meaningful. We also show how semantic queries can be formulated with categories only. We explain the build and content of the database and describe the main features of the web pages and the advanced search options. We also give detailed illustrations of the web service developed to provide programmatic access to Textpresso. This web service is used by the NIF interface to access Textpresso. The standalone website of Textpresso for Neuroscience can be accessed at http://www.textpresso.org/neuroscience/. PMID:18949581

  1. 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. PMID:12374424

  2. 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.

  3. Magic and cognitive neuroscience.

    PubMed

    Quiroga, Rodrigo Quian

    2016-05-23

    In recent years, neuroscientists have shown an increasing interest in magic. One reason for this is the parallels that can be drawn between concepts that have long been discussed in magic theory, particularly misdirection, and those that are routinely studied in cognitive neuroscience, such as attention and, as argued in this essay, different forms of memory. A second and perhaps more attractive justification for this growing interest is that magic tricks offer novel experimental approaches to cognitive neuroscience. In fact, magicians continuously demonstrate in very engaging ways one of the most basic principles of brain function - how the brain constructs a subjective reality using assumptions based on relatively little and ambiguous information. PMID:27218839

  4. 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…

  5. 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. PMID:24139651

  6. 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. PMID:23859089

  7. Interactive Information Seeking and Retrieving: A Third Feedback Framework.

    ERIC Educational Resources Information Center

    Spink, Amanda

    1996-01-01

    Presents an overview of feedback within the cybernetics and social frameworks. These feedback concepts are then compared with the interactive feedback concept evolving within the framework of information seeking and retrieving, based on their conceptualization of the feedback loop and notion of information. (Author/AEF)

  8. Neuroscience in the Cinema.

    ERIC Educational Resources Information Center

    Stewart, Heather L.; Chudler, Eric H.

    2002-01-01

    Discusses the use of movies as an instructional tool for the topic of neurosciences. Provides a list of neuroscience films and a preview sheet example prepared for the movie "A Beautiful Mind". Explains copyright issues for teachers. (YDS)

  9. 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)

  10. 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.

  11. The neuroscience of motivated cognition.

    PubMed

    Hughes, Brent L; Zaki, Jamil

    2015-02-01

    Goals and needs shape individuals' thinking, a phenomenon known as motivated cognition. We highlight research from social psychology and cognitive neuroscience that provides insight into the structure of motivated cognition. In addition to demonstrating its ubiquity, we suggest that motivated cognition is often effortless and pervades information processing. PMID:25640642

  12. Framework for an Information Visualization System

    Energy Science and Technology Software Center (ESTSC)

    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 ofmore » relationships that may be present in the information, including geospatial, temporal, topical, categorical, and network relationships.« less

  13. 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

  14. 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…

  15. 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. PMID:25285708

  16. Information architecture as a framework for reuse

    SciTech Connect

    Urban, M.L.; Chang, I.N.

    1995-09-01

    This paper relates two tenets of modern acquisition, Information Architecture (IA) and reuse. An IA is the product of a modeling effort performed at the analysis level of system development that identifies essential information elements and describes the fundamental characteristics and behavior of the objective system. Principles and observations on reuse, including definitions and criteria to be used in applying reuse in the system engineering and software development process, are presented. The two tenets are related to show how the IA supports reuse as an element of an overall system engineering and software development approach, particularly when that approach is intentionally defined to emphasize reuse. The paper draws from recent efforts in the Ballistic Missile Defense (BMD) Program to implement modern acquisition practices, emphasize reuse and develop IAs for the National Missile Defense (NMD) Battle Management, Command, Control and Communications (BMC3) system. The intention of this paper is to offer observations and examples that would help system developers achieve successful reusability in their products. Such products would include the IA itself as well as system engineering and software development products generated with an IA-based approach to system development.

  17. 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)

  18. 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 episodes…

  19. 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…

  20. 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...

  1. Information Needs in a Community of Reading Specialists: What Information Needs Say about Contextual Frameworks

    ERIC Educational Resources Information Center

    Normore, Lorraine

    2011-01-01

    Introduction: The perceived information needs of teachers who specialize in reading instruction for at-risk first graders were studied and related to frameworks for the role of social context in information needs, seeking and use. The frameworks considered were: disciplinarity, role theory in work settings, small worlds and information grounds and…

  2. 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…

  3. 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

  4. Network application and framework for quality of information processing

    NASA Astrophysics Data System (ADS)

    Marcus, Kelvin; Cook, Trevor; Scott, Lisa; Toth, Andrew

    2012-06-01

    To improve the effectiveness of network-centric decision making, we present a distributed network application and framework that provides users with actionable intelligence reports to support counter insurgency operations. ARL's Quality of Information (QoI) Intelligence Report Application uses QoI metrics like timeliness, accuracy, and precision combined with associated network performance data, such as throughput and latency, and mission-specific information requirements to deliver high quality data to users; that is data delivered in a manner which best supports the ability to make more informed decisions as it relates to the current mission. This application serves as a testing platform for integrated experimentation and validation of QoI processing techniques and methodologies. In this paper, we present the software-system framework and architecture, and show an example scenario that highlights how the framework aids in network integration and enables better data-to-decision.

  5. 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…

  6. 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?.

  7. Optical imaging in cognitive neuroscience

    NASA Astrophysics Data System (ADS)

    Luo, Qingming; Zeng, Shaoqun; Gong, Hui

    2002-04-01

    Cognitive neuroscience is a science of information processing. Optical techniques are playing more and more important roles in revealing the mechanisms of information processing from different levels of the nervous system. This paper gives an overview of the optical imaging approaches in cognitive neuroscience in our lab. First we introduce optical imaging of neurons with multiphoton excitation laser scanning confocal microscopy, then optical imaging of either cultured neuronal networks or nature neuronal networks with multiphoton microscopic imaging system combined with multi- electrode array, and then several optical imaging systems for intrinsic signal imaging in cortex or brain slices, which include CCD-based optical imaging system, OCT system and laser speckle imaging system. Finally we report our recent results on functional optical imaging of human brain activity.

  8. 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.

  9. Extending the infoway benefits evaluation framework for health information systems.

    PubMed

    Lau, Francis

    2009-01-01

    A proposal is made that extends the current Canada Health Infoway Benefits Evaluation (BE) Framework for Health Information Systems (HIS) being deployed in Canada. The current BE framework takes a micro view of HIS quality, use and impact at the local level whereas the extended framework takes into account the broader socio-organizational and contextual aspects known as the meso and macro views of HIS deployment. The meso view addresses the people, organization, network and implementation dimensions. The macro view focuses on the contextual dimensions of technology standard, funding/incentive, legislation/policy and professional practice. Validation of this extended BE framework is being planned through a comparative review of recent HIS evaluation literature, a Delphi-consensus process with HIS experts and users, and multiple validation studies with recent HIS implementation projects in British Columbia. PMID:19380969

  10. 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.

  11. Integrating recent advances in neuroscience into undergraduate neuroscience and physiology courses.

    PubMed

    Cleland, Corey L

    2002-12-01

    Neuroscience has enjoyed tremendous growth over the past 20 years, including a substantial increase in the number of neuroscience departments, programs, and courses at the undergraduate level. To meet the need of new neuroscience courses, there has also been growth in the number of introductory neuroscience textbooks designed for undergraduates. However, textbooks typically trail current knowledge by five to ten years, especially in neuroscience where our understanding is increasing rapidly. Consequently, it is often important to supplement neuroscience and physiology textbooks with information about recent findings in neuroscience. To design supplementary educational material, it is essential first to identify the educational objectives of the program and the characteristics of the learners, which can differ dramatically between undergraduate and graduate or professional students. Four principles that may serve the selection and design of supplementary material for undergraduate neuroscience and physiology courses are that (1) material must be interesting to the undergraduates, (2) material should reinforce previously learned concepts, (3) students must be adequately prepared, and (4) the teacher and student must have sufficient appropriate resources. PMID:12443998

  12. Neuroscience in Yugoslavia.

    PubMed

    Kostović, I; Judas, M

    1991-05-01

    This survey is a personal account of the present status of neuroscience in Yugoslavia within the context of recent upheavals in Eastern Europe. The current situation in Yugoslavia, characterized by the absence of a Federal Ministry of Science and a poor scientific communication between federal states (republics), does not allow a comprehensive overview of neuroscience at the federal level. Even more difficult is to envisage the prospects of Yugoslav neuroscience in the light of European integration. Several problems serve to illustrate the present situation concerning Yugoslav neuroscience. First, the weakness of the self-organization of science in Yugoslavia during the past 20 years is still the most important denominator in the current trend of neuroscience. Second, different Yugoslav republics have significantly different systems of science funding and evaluation, which reflect very plainly different levels of democratic (and socioeconomic) changes that were attained during 1990. Third, due to the different numbers of trained scientists, facilities and equipment, funds and levels of international scientific cooperation there are major differences between republics in the tempo of progress towards real achievements in science. Finally, the present explosive development of neuroscience and the proclamation of the 'Decade of the Brain' will hopefully stimulate Yugoslav neuroscientists to seek better programmes of neuroscience research and to improve the extent and quality of international cooperation. PMID:1713716

  13. 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

  14. Information use and resource competition: an integrative framework.

    PubMed

    Lee, Alexander E G; Ounsley, James P; Coulson, Tim; Rowcliffe, J Marcus; Cowlishaw, Guy

    2016-02-24

    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

  15. 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. PMID:24391613

  16. 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

  17. Photon Temporal Modes: A Complete Framework for Quantum Information Science

    NASA Astrophysics Data System (ADS)

    Brecht, B.; Reddy, Dileep V.; Silberhorn, C.; Raymer, M. G.

    2015-10-01

    Field-orthogonal temporal modes of photonic quantum states provide a new framework for quantum information science (QIS). They intrinsically span a high-dimensional Hilbert space and lend themselves to integration into existing single-mode fiber communication networks. We show that the three main requirements to construct a valid framework for QIS—the controlled generation of resource states, the targeted and highly efficient manipulation of temporal modes, and their efficient detection—can be fulfilled with current technology. We suggest implementations of diverse QIS applications based on this complete set of building blocks.

  18. 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.

  19. 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. PMID:26263226

  20. 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.

  1. 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

  2. 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. PMID:25478915

  3. 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.

  4. A Semiotic Framework for Information Science Leading to the Development of a Quantitative Measure of Information.

    ERIC Educational Resources Information Center

    Yovits, M. C.; Abilock, Judith G.

    If information science is to be considered a "science" in the true sense of the word, a set of general concepts and analytical expressions must be developed. Fundamental to this development is a rigorous and quantifiable measure of information. In previous papers a general framework, called a generalized information system, is suggested which…

  5. Teaching Neuroscience at a Religious Institution: Pedagogical Models for Handling Neuroscience and Theology

    PubMed Central

    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. PMID:23741199

  6. 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. PMID:19241396

  7. 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.

  8. 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

  9. Culture and neuroscience: additive or synergistic?

    PubMed Central

    Dapretto, Mirella; Iacoboni, Marco

    2010-01-01

    The investigation of cultural phenomena using neuroscientific methods—cultural neuroscience (CN)—is receiving increasing attention. Yet it is unclear whether the integration of cultural study and neuroscience is merely additive, providing additional evidence of neural plasticity in the human brain, or truly synergistic, yielding discoveries that neither discipline could have achieved alone. We discuss how the parent fields to CN: cross-cultural psychology, psychological anthropology and cognitive neuroscience inform the investigation of the role of cultural experience in shaping the brain. Drawing on well-established methodologies from cross-cultural psychology and cognitive neuroscience, we outline a set of guidelines for CN, evaluate 17 CN studies in terms of these guidelines, and provide a summary table of our results. We conclude that the combination of culture and neuroscience is both additive and synergistic; while some CN methodologies and findings will represent the direct union of information from parent fields, CN studies employing the methodological rigor required by this logistically challenging new field have the potential to transform existing methodologies and produce unique findings. PMID:20083533

  10. 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

  11. Conceptual framework for indexing visual information at multiple levels

    NASA Astrophysics Data System (ADS)

    Jaimes, Alejandro; Chang, Shih-Fu

    1999-12-01

    In this paper, we present a conceptual framework for indexing different aspects of visual information. Our framework unifies concepts from this literature in diverse fields such as cognitive psychology, library sciences, art, and the more recent content-based retrieval. We present multiple level structures for visual and non-visual and non- visual information. The ten-level visual structure presented provides a systematic way of indexing images based on syntax and semantics, and includes distinctions between general concept and visual concept. We define different types of relations at different levels of the visual structure, and also use a semantic information table to summarize important aspects related to an image. While the focus is on the development of a conceptual indexing structure, our aim is also to bring together the knowledge from various fields, unifying the issues that should be considered when building a digital image library. Our analysis stresses the limitations of state of the art content-based retrieval systems and suggests areas in which improvements are necessary.

  12. 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…

  13. An emerging research framework for studying informal learning and schools

    NASA Astrophysics Data System (ADS)

    Martin, Laura M. W.

    2004-07-01

    In recognition of the fact that science centers and other informal educational institutions can play a role in the reform of science, technology, engineering, and mathematics (STEM) education, several major research and professional programs are currently underway. This article discusses one such effort, the Center for Informal Learning and Schools (CILS), a collaboration of the Exploratorium, the University of California, Santa Cruz, and King's College, London and the need for a theoretical framework based on socio-cultural theory to link discussion of varied efforts characterizing science learning in informal settings. The article discusses two key problematics related to developments in the science education field of the past decade: (1) integrating studies that are undertaken from multiple disciplinary perspectives, namely, science education, developmental psychology, and cultural studies, and (2) characterizing critical properties of informal learning in museums. It reviews work that has been conducted in nonschool settings and, using examples from research conducted by the Center for Informal Learning and Schools, it reviews questions currently under investigation.

  14. 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

  15. 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. PMID:26710255

  16. 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…

  17. 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…

  18. 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…

  19. 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,…

  20. 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

  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. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Information-preserving structures: A general framework for quantum zero-error information

    SciTech Connect

    Blume-Kohout, Robin; Ng, Hui Khoon; Poulin, David; Viola, Lorenza

    2010-12-15

    Quantum systems carry information. Quantum theory supports at least two distinct kinds of information (classical and quantum), and a variety of different ways to encode and preserve information in physical systems. A system's ability to carry information is constrained and defined by the noise in its dynamics. This paper introduces an operational framework, using information-preserving structures, to classify all the kinds of information that can be perfectly (i.e., with zero error) preserved by quantum dynamics. We prove that every perfectly preserved code has the same structure as a matrix algebra, and that preserved information can always be corrected. We also classify distinct operational criteria for preservation (e.g., 'noiseless','unitarily correctible', etc.) and introduce two natural criteria for measurement-stabilized and unconditionally preserved codes. Finally, for several of these operational criteria, we present efficient (polynomial in the state-space dimension) algorithms to find all of a channel's information-preserving structures.

  7. 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.

  8. Information disclosure to family caregivers: applying Thiroux's framework.

    PubMed

    Rowe, John

    2010-07-01

    In the UK, community care has led to more complex relationships for mental health nurses. They need to respect the rights of service users to confidentiality while also respecting the rights of family caregivers to information that directly affects them. An unsatisfactory situation has arisen in which utilitarian and legally driven motives have seen family caregivers' interests become subsidiary to those of service users and providers. An ethical case is made for sharing information with family caregivers, even against the wishes of service users. Through the use of a conceptual framework based on elements proposed by Thiroux - value of life, goodness or rightness, justice or fairness, truth-telling or honesty, and individual freedom - the article concludes that there is an ethical argument for sharing some information with family caregivers and that nurses should respect caregivers' rights through their actions. Nurses' actions are a commitment to seeking what is 'good' by making judgements based on what matters. It is argued that people and their relationships matter more than strict adherence to laws and codes. PMID:20610577

  9. 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. PMID:26863545

  10. 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

  11. 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

  12. 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

  13. 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

  14. Classics in Chemical Neuroscience: Methylphenidate.

    PubMed

    Wenthur, Cody J

    2016-08-17

    As the first drug to see widespread use for the treatment of attention deficit hyperactivity disorder (ADHD), methylphenidate was the forerunner and catalyst to the modern era of rapidly increasing diagnosis, treatment, and medication development for this condition. During its often controversial history, it has variously elucidated the importance of dopamine signaling in memory and attention, provoked concerns about pharmaceutical cognitive enhancement, driven innovation in controlled-release technologies and enantiospecific therapeutics, and stimulated debate about the impact of pharmaceutical sales techniques on the practice of medicine. In this Review, we will illustrate the history and importance of methylphenidate to ADHD treatment and neuroscience in general, as well as provide key information about its synthesis, structure-activity relationship, pharmacological activity, metabolism, manufacturing, FDA-approved indications, and adverse effects. PMID:27409720

  15. 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.

  16. A Decision Support Framework for Genomically Informed Investigational Cancer Therapy

    PubMed Central

    Johnson, Amber; Holla, Vijaykumar; Bailey, Ann Marie; Brusco, Lauren; Chen, Ken; Routbort, Mark; Patel, Keyur P.; Zeng, Jia; Kopetz, Scott; Davies, Michael A.; Piha-Paul, Sarina A.; Hong, David S.; Eterovic, Agda Karina; Tsimberidou, Apostolia M.; Broaddus, Russell; Bernstam, Elmer V.; Shaw, Kenna R.; Mendelsohn, John; Mills, Gordon B.

    2015-01-01

    Rapidly improving understanding of molecular oncology, emerging novel therapeutics, and increasingly available and affordable next-generation sequencing have created an opportunity for delivering genomically informed personalized cancer therapy. However, to implement genomically informed therapy requires that a clinician interpret the patient’s molecular profile, including molecular characterization of the tumor and the patient’s germline DNA. In this Commentary, we review existing data and tools for precision oncology and present a framework for reviewing the available biomedical literature on therapeutic implications of genomic alterations. Genomic alterations, including mutations, insertions/deletions, fusions, and copy number changes, need to be curated in terms of the likelihood that they alter the function of a “cancer gene” at the level of a specific variant in order to discriminate so-called “drivers” from “passengers.” Alterations that are targetable either directly or indirectly with approved or investigational therapies are potentially “actionable.” At this time, evidence linking predictive biomarkers to therapies is strong for only a few genomic markers in the context of specific cancer types. For these genomic alterations in other diseases and for other genomic alterations, the clinical data are either absent or insufficient to support routine clinical implementation of biomarker-based therapy. However, there is great interest in optimally matching patients to early-phase clinical trials. Thus, we need accessible, comprehensive, and frequently updated knowledge bases that describe genomic changes and their clinical implications, as well as continued education of clinicians and patients. PMID:25863335

  17. 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.

  18. A Theoretical Framework for Diagrams and Information Graphics in Research and Education.

    ERIC Educational Resources Information Center

    Hardin, Pris

    Information graphics or diagrams are two-dimensional maps of relationships that present information. Creators and interpreters of diagrams need to know what makes some diagrams more effective in communicating information. This paper suggests a theoretical framework for diagram classification to make this possible. This framework consists of two…

  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. 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

  1. 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

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

    PubMed

    Greene, Joshua; Cohen, Jonathan

    2004-11-29

    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

  3. 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,…

  4. 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

  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. [Origins and first steps of the Spanish Society for Neuroscience].

    PubMed

    Reinoso Suárez, Fernando

    2008-01-01

    I recall the background, the environment, the people and the events that led to the birth of the Spanish Society for Neuroscience (SENC) and remember how and why the multidisciplinary Neurobiology teachers at the Medical School of the Universidad Autónoma de Madrid decided to organize the First Meeting of Spanish Neurobiologists in 1979. Our principal aim was to promote Neuroscience research in Spain. For this was necessary: to know each other, support each other and organize and set up a modern and solid framework for training young researchers in Neuroscience. After reporting the results and circumstances of the first two Meetings, in 1980 and 1981, I discuss the impact of the Sixth European Neuroscience Congress held in Torremolinos in 1982 on Neuroscience in our country. The 1983 Meeting of the Spanish Neurobiologists decided to create the Spanish Society for Neuroscience. The effort of the heterogeneous Management Commission, the preparation of the Bylaws, the selection of the first members and the birth of the Society in 1985 are outlined. I continue in describing the components and work of the three first Boards of Directors and events of the corresponding Congresses until the consolidation of SENC in national and international scientific fields. My talk runs through the development of our Society, its growth in membership and quality and our hopes for the future. PMID:18777849

  7. 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. PMID:17946647

  8. Nature Neuroscience Review

    PubMed Central

    Maze, Ian; Shen, Li; Zhang, Bin; Garcia, Benjamin A.; Shao, Ningyi; Mitchell, Amanda; Sun, HaoSheng; Akbarian, Schahram; Allis, C. David; Nestler, Eric J.

    2014-01-01

    Over the past decade, rapid advances in epigenomics research have extensively characterized critical roles for chromatin regulatory events during normal periods of eukaryotic cell development and plasticity, as well as part of aberrant processes implicated in human disease. Application of such approaches to studies of the central nervous system (CNS), however, is more recent. Here, we provide a comprehensive overview of currently available tools to analyze neuroepigenomics data, as well as a discussion of pending challenges specific to the field of neuroscience. Integration of numerous unbiased genome-wide and proteomic approaches will be necessary to fully understand the neuroepigenome and the extraordinarily complex nature of the human brain. This will be critical to the development of future diagnostic and therapeutic strategies aimed at alleviating the vast array of heterogeneous and genetically distinct disorders of the CNS. PMID:25349914

  9. 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.

  10. 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

    ..., practices or efforts, are you aware of that addresses the problem of used electronics from the United States... 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...

  11. Neurosciences - A neurosurgeon's perspective.

    PubMed

    Abraham, J

    1999-03-01

    The advancements in the field of science in the past fifty years have highlighted the need to integrate all fields of human endeavours and have emphasised interdependency of various disciplines. The separation of humanities, therefore, from neurosciences is a preposterous practical joke on all thinking men. With the human genome project on the anvil, biotechnology is making significant headway holding out promise for organ regeneration. Macro evolution is over, but micro-evolution continues in the brain. Neural Darwinism thus, continues to evolve as long as individual remains conscious and has memory. In the milieu of widely varying internal physiological mechanisms and external stimuli, an alternative theory to preprogrammed directionalism is proposed by three mechanisms namely developmental variation and selection, experiential selections and reentrant signalling. Reentrant signalling reorients and correlates the external inputs leading to psychic development preceding the development of consciousness. The cholinergic and aminergic neuro-modelling systems are well suited to serve as value systems. The main achievement of consciousness is to bring together the many categorizations involved in perceptions into a SCENE. Another part of evolution involved capacity of reentrant signalling to be guided by a value system where it is provided with a lot of choices. With 10(13) neurons and 10(16) connections, freedom of choice may manifest into a 'Buddha' or a 'Hitler'. As part of the evolutionary process, it was interesting how capacity to categorize the need to worship by referring to environment outside evolved into a search within our minds. As the next stage of evolution, neuroscience may, thus, serve as the next gateway to understanding the mind and soul. PMID:10339700

  12. The Emerging Neuroscience of Third-Party Punishment.

    PubMed

    Krueger, Frank; Hoffman, Morris

    2016-08-01

    Although it is far too early to say that cognitive neuroscience will have any direct impact on how we sentence criminals, patterns are nevertheless emerging that suggest a neural framework for punishment that could one day have important legal and social consequences. PMID:27369844

  13. 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…

  14. 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

  15. 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

  16. Brain imaging and cognitive neuroscience. Toward strong inference in attributing function to structure.

    PubMed

    Sarter, M; Berntson, G G; Cacioppo, J T

    1996-01-01

    Cognitive neuroscience has emerged from the neurosciences and cognitive psychology as a scientific discipline that aims at the determination of "how brain function gives rise to mental activity" (S. M. Kosslyn & L. M. Shin, 1992, p. 146). While research in cognitive neuroscience combines many levels of neuroscientific and psychological analyses, modern imaging techniques that monitor brain activity during behavioral or cognitive operations have significantly contributed to the emergence of this discipline. The conclusions deduced from these studies are inherently localizationistic in nature; in other words, they describe cognitive functions as being localized in focal brain regions (brain activity in a defined brain region, phi, is involved in specific cognitive function, psi). A broad discussion about the virtues and limitations of such conclusions may help avoid the emergence of a mentalistic localizationism (i.e., the attribution of mentalistic concepts such as happiness, morality, or consciousness to brain structure) and illustrates the importance of a convergence with information generated by different research strategies (such as, for example, evidence generated by studies in which the effects of experimental manipulations of local neuronal processes on cognitive functions are assessed). Progress in capitalizing on brain-imaging studies to investigate questions of the form "brain structure or event phi is associated with cognitive function psi" may be impeded because of the way in which inferences are typically formulated in the brain imaging literature. A conceptual framework to advance the interpretation of data describing the relationships between cognitive phenomena and brain structure activity is provided. PMID:8585670

  17. 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. PMID:26612666

  18. Consumer Information for Older Learners: A Framework for Program Development.

    ERIC Educational Resources Information Center

    Ames, Barbara D.; Kennedy, C. E.

    1981-01-01

    Proposes a framework for assessing the needs of the older learner/consumer. Includes recognition of the physiological and psychological characteristics of the elderly. Explores the impact of components of the technological and social-psychological systems. Emphasizes the adragogical approach to the actual teaching process. (Author/JAC)

  19. 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

  20. 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…

  1. 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…

  2. 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…

  3. 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

  4. 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. PMID:27012254

  5. 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

  6. 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…

  7. 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

  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. PMID:25684301

  9. 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. PMID:26527055

  10. 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…

  11. A Framework for Developing an Occupational Information System.

    ERIC Educational Resources Information Center

    National Occupational Information Coordinating Committee (DOL/ETA), Washington, DC.

    The Occupational Information System (OIS) is a formal standardized system for the collection, analysis, and dissemination of occupational information that has been mandated by several major pieces of educational legislation. Designed to aid a wide audience--including direct participants in the labor market, persons whose job it is to help others…

  12. 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…

  13. An Emerging Research Framework for Studying Informal Learning and Schools

    ERIC Educational Resources Information Center

    Martin, Laura M. W.

    2004-01-01

    In recognition of the fact that science centers and other informal educational institutions can play a role in the reform of science, technology, engineering, and mathematics (STEM) education, several major research and professional programs are currently underway. This article discusses one such effort, the Center for Informal Learning and…

  14. 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.

  15. 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). PMID:22771724

  16. Information Enrichment Using TaToo's Semantic Framework

    NASA Astrophysics Data System (ADS)

    Schimak, Gerald; Rizzoli, Andrea E.; Avellino, Giuseppe; Lobo, Tomas Pariente; Fuentes, José Maria; Athanasiadis, Ioannis N.

    The Internet is growing in a non-coordinated manner, where different groups continuously publish and update information, adopting a variety of standards, according to the specific domain of interest: from agriculture to ecology, from groundwater to climate change. This unconstrained and unregulated growth has proven to be very successful, as more information is made available, even more is being added, in a virtuous cycle of information accrual. At the same time, modern search engines make looking for information rather easy, with their overall performance being more than satisfactory for most users. Yet, searching and discovering information requires a good deal of expertise and pre-existing knowledge. That may not be a problem when a user searches for common assets using a generic-purpose search engine. But what happens when the user is trying to gather scientific information across boundaries (e.g. cross different disciplines, cross environmental domains, etc)? This asks for new approaches, methods and tools to close the discovery gap of information resources satisfying your specific request. This is exactly the challenge the TaToo project is heading to.

  17. 78 FR 55252 - Proposed Information Collection Request; Comment Request; State Review Framework

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-10

    ... state performance in enforcement and compliance assurance. The Framework's goal is to evaluate state... described in the April 26, 2005 Federal Register Notice (79 FR 21408). This amendment will allow OECA to... AGENCY Proposed Information Collection Request; Comment Request; State Review Framework...

  18. 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

  19. 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

  20. 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.…

  1. 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

  2. Neuroscience of meditation.

    PubMed

    Deshmukh, Vinod D

    2006-01-01

    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. PMID:17370019

  3. Cognitive neuroscience in space.

    PubMed

    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

  4. 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. PMID:25316079

  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. 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…

  7. 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

  8. Facilitating Organizational Information Access in Global Network Environments: Towards a New Framework for Intranet Design.

    ERIC Educational Resources Information Center

    Detlor, Brian

    This paper proposes a user-centered framework for intranet design that is based on an understanding of people, their typical problems, information behaviors, and situated contexts. It is argued that by adopting such an approach, intranets can be designed which facilitate organizational information access and use. The first section of the paper…

  9. 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…

  10. The cognitive neuroscience of working memory.

    PubMed

    D'Esposito, Mark; Postle, Bradley R

    2015-01-01

    For more than 50 years, psychologists and neuroscientists have recognized the importance of a working memory to coordinate processing when multiple goals are active and to guide behavior with information that is not present in the immediate environment. In recent years, psychological theory and cognitive neuroscience data have converged on the idea that information is encoded into working memory by allocating attention to internal representations, whether semantic long-term memory (e.g., letters, digits, words), sensory, or motoric. Thus, information-based multivariate analyses of human functional MRI data typically find evidence for the temporary representation of stimuli in regions that also process this information in nonworking memory contexts. The prefrontal cortex (PFC), on the other hand, exerts control over behavior by biasing the salience of mnemonic representations and adjudicating among competing, context-dependent rules. The "control of the controller" emerges from a complex interplay between PFC and striatal circuits and ascending dopaminergic neuromodulatory signals. PMID:25251486

  11. 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…

  12. Integrative neuroscience approach to neuropsychiatric lupus

    PubMed Central

    Gibson, Elizabeth L.; Rey, Carson; Huerta, Tomás S.; Huerta, Patricio T.

    2016-01-01

    We present a succinct review of our approach to study the interactions between the DNA-reactive antibodies that cross-react with the GluN2A and GluN2B subunits of the N-methyl-D-aspartate receptor, denoted DNRABs, and their brain targets in subjects with neuropsychiatric systemic lupus erythematosus (NPSLE). We have analyzed the DNRAB-based brain symptomatology in mouse models of NPSLE by using an integrative neuroscience approach, which includes behavioral assessment coupled with electrophysiological studies of neural networks and synaptic connections in target brain regions, such as the CA1 region of the hippocampus. Our results suggest a framework for understanding the interactions between immune factors and neural networks. PMID:26467973

  13. Dyslexia, Learning, and Pedagogical Neuroscience

    ERIC Educational Resources Information Center

    Fawcett, Angela J; Nicolson, Roderick I

    2007-01-01

    The explosion in neuroscientific knowledge has profound implications for education, and we advocate the establishment of the new discipline of "pedagogical neuroscience" designed to combine psychological, medical, and educational perspectives. We propose that specific learning disabilities provide the crucible in which the discipline may be…

  14. Neuroscience Laboratory and Classroom Activities.

    ERIC Educational Resources Information Center

    Bellamy, Mary Louise Ed.; Frame, Kathy Ed.

    This publication is part of a larger project involving partnerships between high school biology teachers and neuroscientists. It contains neuroscience laboratories and classroom activities, most of which provide opportunities for students to design and conduct their own experiments. Each lab contains directions for both teachers and students and…

  15. 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…

  16. 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…

  17. 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…

  18. Neuroscience, Play, and Child Development.

    ERIC Educational Resources Information Center

    Frost, Joe L.

    This paper presents a brief overview of the array of neuroscience research as it applies to play and child development. The paper discusses research showing the importance of play for brain growth and child development, and recommends that families, schools and other social and corporate institutions rearrange their attitudes and priorities about…

  19. 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

  20. Revolutions in Neuroscience: Tool Development.

    PubMed

    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. 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.…

  2. 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.

  3. Using Neuroscience to Broaden Emotion Regulation: Theoretical and Methodological Considerations

    PubMed Central

    Berkman, Elliot T.; Lieberman, Matthew D.

    2013-01-01

    Behavioral research on emotion regulation thus far has focused on conscious and deliberative strategies such as reappraisal. Neuroscience investigations into emotion regulation have followed suit. However, neuroimaging tools now open the door to investigate more automatic forms of emotion regulation that take place incidentally and potentially outside of participant awareness that have previously been difficult to examine. The present paper reviews studies on the neuroscience of intentional/deliberate emotion regulation and identifies opportunities for future directions that have not yet been addressed. The authors suggest a broad framework for emotion regulation that includes both deliberative and incidental forms. This framework allows insights from incidental emotion regulation to address open questions about existing work, and vice versa. Several studies relevant to incidental emotion regulation are reviewed with the goal of providing an empirical and methodological groundwork for future research. Finally, several theoretical issues for incidental and intentional emotion regulation are discussed. PMID:24052803

  4. Neuroscience and the law: philosophical differences and practical constraints.

    PubMed

    Martell, Daniel A

    2009-01-01

    Controversies surrounding the value of neuroscience as forensic evidence are explored from the perspective of the philosophy of mind, as well as from a practical analysis of the state of the scientific research literature. At a fundamental philosophical level there are profound differences in how law and neuroscience view the issue of criminal responsibility along the continuum from free will to determinism. At a more practical level, significant limitations in the current state of neuroimaging research constrain its ability to inform legal decision-making. Scientifically supported and unsupported forensic applications for brain imaging are discussed, and recommendations for forensic report writing are offered. PMID:19267425

  5. 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

  6. 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.

  7. 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…

  8. The Importance of Single-Trial Analyses in Cognitive Neuroscience.

    PubMed

    Stokes, Mark; Spaak, Eelke

    2016-07-01

    Theories of working memory typically assume that information is maintained via persistent neural activity. By contrast, Lundqvist et al. report that single-trial delay activity is actually 'bursty'; the classic profile of persistent activity is an artefact of trial-wise averaging. Tackling brain-behaviour relationships at the single-trial level is an important future direction for cognitive neuroscience. PMID:27237797

  9. 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

  10. 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

  11. Philosophical approaches to the nursing informatics data-information-knowledge-wisdom framework.

    PubMed

    Matney, Susan; Brewster, Philip J; Sward, Katherine A; Cloyes, Kristin G; Staggers, Nancy

    2011-01-01

    Although informatics is an important area of nursing inquiry and practice, few scholars have articulated the philosophical foundations of the field or how these translate into practice including the often-cited data, information, knowledge, and wisdom (DIKW) framework. Data, information, and knowledge, often approached through postpositivism, can be exhibited in computer systems. Wisdom aligns with constructivist epistemological perspectives such as Gadamerian hermeneutics. Computer systems can support wisdom development. Wisdom is an important element of the DIKW framework and adds value to the role of nursing informaticists and nursing science. PMID:21150551

  12. Integrated Information Framework for Intelligent Cooperative Design Based on Multi-Agent System and XML

    NASA Astrophysics Data System (ADS)

    Yan, Cao; Lina, Yang; Yanli, Yang; Hua, Chen

    2008-11-01

    To meet the requirements of distributed cooperation in various industries, the architecture of cooperative design based on multi-agent system on Internet is proposed by analyzing cooperative design pattern, and its key technologies, such as product developing process management, information management, and conflict resolution, are discussed. An integrated information framework of loosely coupling modules is proposed which supports concurrent work mode based on multi-agent system. Integrating Web service technique and agent technique into this framework can organize many cooperative members and their activities effectively though they are distributed at different places. Finally, system development mode based on Web is put forward.

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

    PubMed Central

    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. PMID:26075013

  14. 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. PMID:26075013

  15. Making the most of data: An information selection and assessment framework to improve water systems operations

    NASA Astrophysics Data System (ADS)

    Giuliani, M.; Pianosi, F.; Castelletti, A.

    2015-11-01

    Advances in Environmental monitoring systems are making a wide range of data available at increasingly higher temporal and spatial resolution. This creates an opportunity to enhance real-time understanding of water systems conditions and to improve prediction of their future evolution, ultimately increasing our ability to make better decisions. Yet, many water systems are still operated using very simple information systems, typically based on simple statistical analysis and the operator's experience. In this work, we propose a framework to automatically select the most valuable information to inform water systems operations supported by quantitative metrics to operationally and economically assess the value of this information. The Hoa Binh reservoir in Vietnam is used to demonstrate the proposed framework in a multiobjective context, accounting for hydropower production and flood control. First, we quantify the expected value of perfect information, meaning the potential space for improvement under the assumption of exact knowledge of the future system conditions. Second, we automatically select the most valuable information that could be actually used to improve the Hoa Binh operations. Finally, we assess the economic value of sample information on the basis of the resulting policy performance. Results show that our framework successfully select information to enhance the performance of the operating policies with respect to both the competing objectives, attaining a 40% improvement close to the target trade-off selected as potentially good compromise between hydropower production and flood control.

  16. 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

  17. 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

  18. A Geographic Information System framework for the management of sensor deployments.

    PubMed

    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

  19. 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]).

  20. Operationalized psychodynamic diagnosis as an instrument to transfer psychodynamic constructs into neuroscience

    PubMed Central

    Kessler, Henrik; Stasch, Michael; Cierpka, Manfred

    2013-01-01

    This theoretical article makes a contribution to the field of “psychoanalytically informed neuroscience”. First, central characteristics of psychoanalysis and neuroscience are briefly described leading into three epistemic dichotomies. Neuroscience versus psychoanalysis display almost opposing methodological approaches (reduction vs. expansion), test quality emphases (reliability vs. validity) and meaning of results (correlation vs. explanation). The critical point is to reach an intermediate level: in neuroscience an adequate position integrating both aspects—objective and subjective—of dual-aspect monism, and in psychoanalysis the appropriate level for the scientific investigation of its central concepts. As a suggestion to reach that level in both fields the system of Operationalized Psychodynamic Diagnosis (OPD; OPD Task Force, 2008) is presented. Combining aspects of both fields areas, expansion and reduction as well as reliability and validity, OPD could be a fruitful tool to transfer psychodynamic constructs into neuroscience. The article closes with a short description of recent applications of OPD in neuroscience. PMID:24298247

  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. PMID:16796820

  2. 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.

  3. 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. PMID:20817916

  4. 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.

  5. 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...

  6. 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. PMID:25732083

  7. 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…

  8. 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…

  9. 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. PMID:25819080

  10. 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…

  11. 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.…

  12. Preservice Teachers' Thinking within a Research-Based Framework: What Informs Decisions?

    ERIC Educational Resources Information Center

    Olson, Joanne K.

    2007-01-01

    A research-based framework for teaching science is a heuristic tool used to help preservice teachers conceptualize many complexities of teaching while making explicit the strategy to use a research-based body of professional knowledge to inform instructional decision-making (Clough, 2003, Paper presented at the annual meeting of the Association…

  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. The neuroscience of "free will".

    PubMed

    Tancredi, Laurence R

    2007-01-01

    Advances in neuroscience over the past 40 or more years are causing a re-visiting of an old debate: Does man possess free will over his actions, or do forces out of his control determine his behavior? Philosophers and biologists since the beginning of recorded history have taken positions on each side of the debate. Recent discoveries of brain activation prior to conscious awareness and genetic conditions that induce impulsive violent behavior are fortifying the perspective that biological determinism is basic to the human condition. But some contemporary thinkers are conflicted in this viewpoint since "free will" is a necessary element for self-determination and for attributing personal responsibility for one's actions. Hence, modifications of strict determinism have emerged which try to incorporate the features of determinism enforced by neuroscience findings with some element of "free will", making the two seemingly opposed positions compatible. How successful this will be to rescue "free will" in the long term depends on future discoveries in neuroscience and genetics. PMID:17393401

  15. 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. PMID:26585711

  16. A generic spatial-stochastic framework for quantifying noisy information flow in multicellular systems

    NASA Astrophysics Data System (ADS)

    Sokolowski, Thomas; Tkačik, Gašper

    Spatio-temporal protein signals play a crucial role in communicating information within and between cells. However, their ability to convey signals robustly is hampered by noise in gene regulation and biochemical transport, occuring at low copy numbers. While we increasingly understand distinct strategies of biochemical noise control, it remains unclear how nature orchestrates them to maximize information flow. Our recent work extends our information-theoretic framework for gene regulation to an explicitly spatial setting. We constructed a stochastic model enabling fast calculation of local means and variances in a spatially coupled gene regulatory system, which we use for rigorous quantification of information flow in an ensemble of units sensing a spatially distributed input and exchanging information via diffusion. By applying our framework to the paradigmatic Bcd-Hbk system in early fly development, we demonstrate that diffusive coupling can be of substantial benefit in encoding positional information, and uncover a novel optimal regulatory strategy relying on spatial coupling. Thanks to the generic methodology employed, our framework is universally applicable for realistic predictive modeling and data-driven inference of multicellular systems engaging in noisy communication. Institute of Science and Technology Austria, Am Campus 1, A-3400 Klosterneuburg, Austria.

  17. [For the Establishment of an Informative Support Framework in Pharmacies: Informative Support System for Diabetes].

    PubMed

    Yamamoto, Michiko; Doi, Hirohisa; Watanabe, Kazuhiro

    2016-01-01

    According to the Japanese revitalization strategy endorsed by the government in June, 2013, pharmacies are expected to play an active role as the hub of health information. But this is not sufficiently organized: an infrastructure for providing neutral information which becomes the basis of such health information is not yet established for healthcare professionals, patients and consumers. As for drug information available subsequent to the marketing of pharmaceutical products, information from the pharmaceutical companies including Package Inserts and Interview-forms are often found. However, though such information from companies is important, it is necessary for healthcare professionals and patients to have access to the information evaluated by a trustworthy third party. With overseas distribution, the dissemination of drug information is provided by third parties, which are independent of regulatory agencies. For example, National Health Service (NHS) Evidence in the UK offers wide-ranging information based on evidence from a disease to pharmaceutical products, and is a widely available information source for healthcare professionals, patients and consumers. With regard to therapeutic medications, drug information and health foods in the Japanese community, it is necessary for patients and healthcare professionals that we establish neutral and common systematic information based on the research evidence. By providing information on the Internet, which enables people to access the information easily and to assess a product's usefulness objectively, we hope to eventually develop a system that ensures a patient's safety in the use of drugs. PMID:26831806

  18. 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.

  19. 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

  20. Positional information, positional error, and readout precision in morphogenesis: a mathematical framework.

    PubMed

    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

  1. 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.

  2. 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. PMID:25725908

  3. The neuroscience of race.

    PubMed

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

    2012-07-01

    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

  4. 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

  5. An economic framework for valuing information in water scarce irrigation districts

    NASA Astrophysics Data System (ADS)

    Kaune, Alexander; Werner, Micha; Karimi, Poolad; de Fraiture, Charlotte

    2015-04-01

    Data and information plays a crucial role in quantifying the abundance of the available water resource and the demand placed on it in water scarce regions, and is central to decision making. This is particularly so for water allocation decisions in large irrigation districts. However, in most irrigation schemes data collection is normally limited due to the economic investments required. As a result, water allocation decisions are normally taken based on incomplete or uncertain data on the current or forecast situation, leading to less optimal decisions being taken in system planning and operation. Wrong water allocation decisions can lead to economic loss in agricultural production, implying low performance of the system and possible impact on the users' livelihoods. The objective of this research is to assess available frameworks in valuing information and to adapt these to support water allocation decisions in irrigation districts. Water allocation decisions made in the planning of irrigation districts as well as in their operation will be evaluated through a decision framework that considers a discrete set of options, each generating different agricultural production loss scenarios relative to uncertain water scarcity conditions. Additional information obtained from improved data can support better decision making and thus constitutes added value. This added value can be interpreted as the marginal benefit of the improved data. The marginal benefit of information will be determined following an economic framework based on the Relative Economic Value theory that is applied in making decisions in a Bayesian setting. Through this framework it is expected to provide economic values of information in support of water allocation decisions in vulnerable irrigation districts. This is an essential step to provide insight on the value of information in water allocation decisions in planning and operation, and ultimately to reduce agricultural production loss.

  6. Primate comparative neuroscience using magnetic resonance imaging: promises and challenges

    PubMed Central

    Mars, Rogier B.; Neubert, Franz-Xaver; Verhagen, Lennart; Sallet, Jérôme; Miller, Karla L.; Dunbar, Robin I. M.; Barton, Robert A.

    2014-01-01

    Primate comparative anatomy is an established field that has made rich and substantial contributions to neuroscience. However, the labor-intensive techniques employed mean that most comparisons are often based on a small number of species, which limits the conclusions that can be drawn. In this review we explore how new developments in magnetic resonance imaging have the potential to apply comparative neuroscience to a much wider range of species, allowing it to realize an even greater potential. We discuss (1) new advances in the types of data that can be acquired, (2) novel methods for extracting meaningful measures from such data that can be compared between species, and (3) methods to analyse these measures within a phylogenetic framework. Together these developments will allow researchers to characterize the relationship between different brains, the ecological niche they occupy, and the behavior they produce in more detail than ever before. PMID:25339857

  7. The development of a risk identification screening framework for healthcare information systems.

    PubMed

    Keay, Elizabeth; Kushniruk, Andre

    2009-01-01

    Health information systems are costly, especially when they are not used or when they impede workflow. Risk assessment is used to identify and remedy problem areas so that systems are safe. While there are discussions of design project risk management, for example, see McConnell [1], there is little information about screening the fit of a system with respect to its users, the task and the healthcare organization. Such analyses could be important in improving the fit of information systems in healthcare, thereby decreasing risk of system and project failure. A risk-screening framework for health informatics is presented. PMID:19380968

  8. 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. PMID:26975206

  9. 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

  10. 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