Sample records for jaak truu marika

  1. MARIKA - A model revision system using qualitative analysis of simulations. [of human orientation system

    NASA Technical Reports Server (NTRS)

    Groleau, Nicolas; Frainier, Richard; Colombano, Silvano; Hazelton, Lyman; Szolovits, Peter


    This paper describes portions of a novel system called MARIKA (Model Analysis and Revision of Implicit Key Assumptions) to automatically revise a model of the normal human orientation system. The revision is based on analysis of discrepancies between experimental results and computer simulations. The discrepancies are calculated from qualitative analysis of quantitative simulations. The experimental and simulated time series are first discretized in time segments. Each segment is then approximated by linear combinations of simple shapes. The domain theory and knowledge are represented as a constraint network. Incompatibilities detected during constraint propagation within the network yield both parameter and structural model alterations. Interestingly, MARIKA diagnosed a data set from the Massachusetts Eye and Ear Infirmary Vestibular Laboratory as abnormal though the data was tagged as normal. Published results from other laboratories confirmed the finding. These encouraging results could lead to a useful clinical vestibular tool and to a scientific discovery system for space vestibular adaptation.

  2. Science of the Brain as a Gateway to Understanding Play: An Interview with Jaak Panksepp

    ERIC Educational Resources Information Center

    American Journal of Play, 2010


    Jaak Panksepp, known best for his work on animal emotions and coining the term "affective neuroscience," investigates the primary processes of brain and mind that enable and drive emotion. As an undergraduate, he briefly considered a career in electrical engineering but turned instead to psychology, which led to a 1969 University of…

  3. Analyzing Losses: Transuranics into Waste and Fission Products into Recycled Fuel

    SciTech Connect

    Steven J. Piet; Nick R. Soelberg; Samuel E. Bays; Robert E. Cherry; Layne F. Pincock; Eric L. Shaber; Melissa C. Teague; Gregory M. Teske; Kurt G. Vedros; Candido Pereira; Denia Djokic


    All mass streams from separations and fuel fabrication are products that must meet criteria. Those headed for disposal must meet waste acceptance criteria (WAC) for the eventual disposal sites corresponding to their waste classification. Those headed for reuse must meet fuel or target impurity limits. A “loss” is any material that ends up where it is undesired. The various types of losses are linked in the sense that as the loss of transuranic (TRU) material into waste is reduced, often the loss or carryover of waste into TRU or uranium is increased. We have analyzed four separation options and two fuel fabrication options in a generic fuel cycle. The separation options are aqueous uranium extraction plus (UREX+1), electrochemical, Atomics International reduction oxidation separation (AIROX), and melt refining. UREX+1 and electrochemical are traditional, full separation techniques. AIROX and melt refining are taken as examples of limited separations, also known as minimum fuel treatment. The fuels are oxide and metal. To define a generic fuel cycle, a fuel recycling loop is fed from used light water reactor (LWR) uranium oxide fuel (UOX) at 51 MWth-day/kg-iHM burnup. The recycling loop uses a fast reactor with TRU conversion ratio (CR) of 0.50. Excess recovered uranium is put into storage. Only waste, not used fuel, is disposed – unless the impurities accumulate to a level so that it is impossible to make new fuel for the fast reactor. Impurities accumulate as dictated by separation removal and fission product generation. Our model approximates adjustment to fast reactor fuel stream blending of TRU and U products from incoming LWR UOX and recycling FR fuel to compensate for impurity accumulation by adjusting TRU:U ratios. Our mass flow model ignores postulated fuel impurity limits; we compare the calculated impurity values with those limits to identify elements of concern. AIROX and melt refining cannot be used to separate used LWR UOX-51 because they cannot

  4. What Affective Neuroscience Means for Science Of Consciousness

    PubMed Central

    Almada, Leonardo Ferreira; Pereira, Alfredo; Carrara-Augustenborg, Claudia


    The field of affective neuroscience has emerged from the efforts of Jaak Panksepp in the 1990s and reinforced by the work of, among others, Joseph LeDoux in the 2000s. It is based on the ideas that affective processes are supported by brain structures that appeared earlier in the phylogenetic scale (as the periaqueductal gray area), they run in parallel with cognitive processes, and can influence behaviour independently of cognitive judgements. This kind of approach contrasts with the hegemonic concept of conscious processing in cognitive neurosciences, which is based on the identification of brain circuits responsible for the processing of (cognitive) representations. Within cognitive neurosciences, the frontal lobes are assigned the role of coordinators in maintaining affective states and their emotional expressions under cognitive control. An intermediary view is the Damasio-Bechara Somatic Marker model, which puts cognition under partial somatic-affective control. We present here our efforts to make a synthesis of these views, by proposing the existence of two interacting brain circuits; the first one in charge of cognitive processes and the second mediating feelings about cognitive contents. The coupling of the two circuits promotes an endogenous feedback that supports conscious processes. Within this framework, we present the defence that detailed study of both affective and cognitive processes, their interactions, as well of their respective brain networks, is necessary for a science of consciousness. PMID:23678246

  5. Critical notes on the neuro-evolutionary archaeology of affective systems.


    Barratt, Barnaby B


    If progress is to be made in resolving the debate over the relevance of neuroscientific findings to psychoanalysis, a clearer distinction must be established between a narrow definition of psychoanalysis as "praxis" (the science of lived experience and its conflicts or contradictions) and a definition that focuses on metapsychology as objectivistic theory-building. The investigations of Jaak Panksepp on the "neuro-archaeology" of affective systems are reviewed as an example of how findings in neuroscience cannot be legitimately extrapolated to offer conclusions about the domain of lived experience. In this context, Freud's shifting standpoint is reviewed and, following the writings of Jean Laplanche, the significance of Freud's distinction between "drives" or libidinality, as acquired through experience, and "instincts," which are purely biological, is emphasized. It is argued that there is an unavoidable component of myth-making in any consideration of the connection between neural circuitry and the domain of psychic representations. Freud's need for a notion of drive or energy, which is required to understand the findings of free-associative method, is admittedly mythematic, but it implies a major challenge to extant philosophical doctrines of the "mind/body" question (emergentism, double-aspect monism, and neutral monism). Thus, whereas psychoanalysis as praxis is, in Freud's words, "free to follow its own requirements," the claims of metapsychology are not so unrestrained. Further debate is required on the irrelevance of a revised objectivistic theory of the "mental apparatus" to the venture of healing the fracturing of our lived experience.

  6. Affective Infrastructures: Toward a Cultural Neuropsychology of Sport

    PubMed Central

    Heywood, Leslie L.


    Recently there has been a turn toward considerations of embodiment, cognition, and context in sport studies. Many researchers have argued that the traditional focus on clinical psychology and performance enhancement within the discipline is incomplete, and now emphasize the importance of athletes’ social and familial contexts in a research paradigm that examines interconnections between movement, cognition, emotion, and the social and cultural context in which movement takes place. While it is important that the sport studies focus is being expanded to consider these interactions, I will argue that this model is still incomplete in that it is missing a fundamental variable – that of our evolutionary neurobiological roots. I will use the work of affective neuroscientists Jaak Panksepp and Stephen Porges to show that because sport so clearly activates neural systems that function at both proximate and ultimate levels of causation, it can be seen to serve fundamental needs for affective balance. A neurobiology of affect shows how the evolution of the mammalian autonomic nervous system has resulted in neurophysiological substrates for affective processes and stress responses, and has wide-ranging implications for sport studies in terms of suggesting what forms of coaching might be the most effective in what context. I propose the term cultural neuropsychology of sport as a descriptor for a model that examines the relationships between neurophysiological substrates and athletes’ social and familial contexts in terms of how these variables facilitate or fail to facilitate athletes’ neuroceptions of safety, which in turn have a direct impact on their performance. A cultural neuropsychological model of sport might thereby be seen to elaborate a relationship between proximate and ultimate mechanisms in concretely applied ways. PMID:22069389

  7. Final Technical Report for Project "Improving the Simulation of Arctic Clouds in CCSM3"

    SciTech Connect

    Stephen J. Vavrus


    warming and the extent to which models adequately represent Arctic clouds in the modern climate. This site was used extensively in the IARC summer school projects. This work has also led to a collaboration this year during a 4-month visit I made to NCAR through its Faculty Fellowship Program. I worked with scientists Marika Holland, David Bailey, Andrew Gettleman, and Jen Kay, who are researching polar climate and/or clouds. I met with this group frequently during my visit, leading to some fruitful interactions. This work led to the discovery of a tightly coupled response of clouds and sea ice during intervals of rapid sea ice loss in greenhouse simulations, as well as advising on the evolving CCSM3.5 to CCSM4 model development. This involvement with NCAR also led to a longer-term connection, as I have recently begun a two-year stint on the SSC for CCSM.