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  • CCNLab - Computational Cognitive Neuroscience Wiki
    Postdoc Position Available fall 2014 We are hiring a new postdoc to start in the fall semester This position will focus on computational models of neural vision Please send an email if interested Lab Page People Research Resources Publications Talk Videos Slides Media Coverage Funding Links Contact Retrieved from https grey colorado edu CompCogNeuro index php title CCNLab oldid 4444 Navigation menu Personal tools Create account Log in Namespaces Page

    Original URL path: https://grey.colorado.edu/CompCogNeuro/index.php/CCNLab (2015-07-03)
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  • File:ccnlab logo sm.png - Computational Cognitive Neuroscience Wiki
    401 165 49 KB Oreilly Talk contribs You cannot overwrite this file File usage The following file is a duplicate of this file more details File Ccnlab logo sm png The following page links to this file CCNLab Retrieved from https grey colorado edu CompCogNeuro index php title File ccnlab logo sm png oldid 765 Navigation menu Personal tools Create account Log in Namespaces File Discussion Variants Views Read View

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  • Postdoc Position Available fall 2014 - Computational Cognitive Neuroscience Wiki
    the relevant visual areas including V3 LIP and FEF interacting with the ventral object recognition pathways in V4 and IT This is a collaborative project with Tim Curran at CU Boulder human EEG studies David Sheinberg at Brown primate electrophysiology and Tor Wager CU Boulder fMRI there is an opportunity to conduct tests of the computational models with these collaborators Desirable qualifications include extensive prior computational modeling experience preferably in relevant visual domains The position is available immediately but the start date is flexible The University of Colorado is an Equal Opportunity Affirmative Action employer For further information about the lab see http grey colorado edu CompCogNeuro index php CCNLab and our recent publications in this area http grey colorado edu CompCogNeuro index php CCNLab publications Applicants must submit a CV a statement of research experience interests and a cover letter including email addresses for at least three referees to contact for recommendation letters if needed Applications will be accepted electronically at https www jobsatcu com postings XXXXX Retrieved from https grey colorado edu CompCogNeuro index php title Postdoc Position Available fall 2014 oldid 4476 Navigation menu Personal tools Create account Log in Namespaces Page Discussion Variants Views Read View

    Original URL path: https://grey.colorado.edu/CompCogNeuro/index.php/Postdoc_Position_Available_fall_2014 (2015-07-03)
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  • File:ccnlab icon micro.png - Computational Cognitive Neuroscience Wiki
    file CCNLab CCNLab Links CCNLab contact CCNLab funding CCNLab media CCNLab people CCNLab publications CCNLab research CCNLab resources CCNLab talks Template Ccnlab nav Template ccnlab nav Metadata This file contains additional information probably added from the digital camera or scanner used to create or digitize it If the file has been modified from its original state some details may not fully reflect the modified file Horizontal resolution 59 02 dpc

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  • CCNLab/people - Computational Cognitive Neuroscience Wiki
    Fall 2010 present Jessica Mollick Cog Neuro PhD Student Fall 2011 present Prescott Mackie Cog Neuro PhD Student Fall 2012 present Undergrads Elizabeth Chan Alexandra E Clark Shelby Imes Interns Business Partners Dave Jilk http e cortex com Tanaya Mankand http e cortex com Main Collaborators Dr Marie Banich CU Psych Dr Todd Braver Washington University St Louis Dr Jonathan Cohen Princeton University Dr Tim Curran CU Psych Dr Akira Miyake CU Psych Dr Michael Mozer CU Computer Science Dr Yuko Munakata CU Psych Dr David Noelle UC Merced Dr Jerry Rudy CU Psych Dr Tor Wager CU Psych Former Lab Members Former Grads Primary Advisor Dr Seth A Herd PhD 1999 2005 now Postdoc in Lab Dr Hisham Atallah PhD 2000 2006 now Postdoc with Ann Graybiel at MIT Dr Amy Santamaria PhD 2000 2006 now Staff Research Scientist Micro Analysis and Design Dr Michael Frank PhD 2001 2006 now Associate Professor at Brown University http ski cog brown edu Philip Branning 2005 2006 now Software Developer at Brad Aisa 2007 2009 Software Developer in Lab 2004 2009 now Software Developer at Wolfgang M Pauli PhD 2006 2012 now a Postdoc in the John P O Doherty lab at Caltech Brian Mingus now at Rosetta Stone Dean Wyatte PhD Student 2008 2014 now Senior Engineer at Qualcomm Neuromorphic Computing R D Former Grads Secondary Advisor Richard Busby Applied Math Masters Student Daniel Cer CS PhD Student Brian Loughry CS Masters Student Rodolfo Soto Psych PhD Student Nimisha Srinimisha Morkonda Gnanasekaran CS Masters Student 2011 2012 Former Postdocs Dr David Huber 1999 2003 now Associate Professor at UC San Diego http psy2 ucsd edu dhuber Dr Kenneth Norman 1999 2002 now Associate Professor at Princeton University http compmem princeton edu Dr Nicolas Rougier 2000 2003 now Research Scientist CR1 at

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  • CCNLab/research - Computational Cognitive Neuroscience Wiki
    the hippocampus and have applied this initially to understanding its role in recognition memory Recognition memory is typically tested by presenting lists of words to subjects and then asking them later if they remember seeing a given set of test words during the initial study session The hippocampus can rapidly encode many aspects of the experience of studying the word and bind them together in one conjunctive representation This can then be used to explicitly remember or recollect the study experience during testing This recollective contribution of the hippocampus has many distinct properties compared to an alternative familiarity based response where the subject has some general feeling of familiarity but no distinct recollection of studying it This familiarity response is likely due to the effects of cortical learning We are trying to understand how the unique biological properties of the hippocampus and cortex give rise to their different functional properties as measured in behavioral tests of recognition memory Dave Huber and I are trying to use the same principles that underlie the cortical contribution to familiarity to understand priming effects taking place in lower level cortical areas For more information on this project see Norman K A O Reilly R C in press Modeling Hippocampal and Neocortical Contributions to Recognition Memory A Complementary Learning Systems Approach ICS Technical Report 01 02 August 2001 Psychological Review in press O Reilly R C Norman K A 2002 Hippocampal and Neocortical Contributions to Memory Advances in the Complementary Learning Systems Framework Trends in Cognitive Sciences 6 505 510 Role of the Hippocampus and Neocortex in Animal Learning Phenomena In collaboration with Jerry Rudy we are applying the hippocampal model and a model of cortical learning to understand the learning of conjunctive representations in a wide range of animal learning paradigms Specifically we have developed an understanding of why the conjunctive hippocampal representations appear to be necessary for certain conditioning tasks that would seem to require the use of conjunctive representations but not others The model also suggests that a number of other tasks would provide better indicators of hippocampal function and we are presently exploring these both in the lab with rats and in the model For more information on this project see O Reilly R C Rudy J W 1999 2001 Conjunctive Representations in Learning and Memory Principles of Cortical and Hippocampal Function ICS Technical Report 99 01 January 1999 Revised June 2000 Psychological Review in press Rudy J W O Reilly R C 2001 Conjunctive Representations the Hippocampus and Contextual Fear Conditioning Cognitive Affective and Behavioral Neuroscience 1 66 82 Nature of the Representations and Learning in the PFC In collaboration with Jonathan Cohen and Todd Braver we are developing models of the prefrontal cortex PFC that explore how biological properties of the PFC can contribute to its unique role in working memory and controlled processing aka executive function These models incorporate a role for the neuromodulator dopamine in controlling the updating and maintenance of information in the PFC which is one important component in enabling a form of activation based processing that is much more flexible and dynamic than the kinds of weight based processing more typical of the posterior cortex We are exploring these issues in the context of a categorization task that is analogous to the Wisconsin Card Sorting Test a commonly used test of frontal function which requires that the categorization rules be rapidly switched Frontal damage results in slowing perserverations in switching which can be explained by assuming that less dynamic weight based processing is being used instead of the activation based processing supported by the PFC in normals The flexibility of the PFC plus the need for robust maintenance also places significant requirements on the nature of the representations in the PFC Initial progress towards understanding these representations has been made in the context of the categorization task in work with Cohen and Braver More recently work with Miyake Mozer and Munakata has begun to explore the specific idea that PFC representations should be more discrete in nature which affords an important level of robustness Consider the example of representing colors A continuous representation would encode something like the wavelength of the light A discrete representation would be more like the familiar color words red blue green etc By maintaining a discrete representation the effects of noise can be minimized because discrete attractor structures can constantly pull the representation back towards a discrete attractor In contrast such attractors are impossible for a continuous space such as wavelength so that continuous representations would be subject to a random walk under the effects of noise and in the absence of external inputs as is typically the case where active maintenance is required We are exploring this idea and the consequent tradeoffs between continuous and discrete representations in simulations and in behavioral experiments with adults infants and frontal patient populations For more information on this project see Rougier N P O Reilly R C 2002 Learning Representations in a Gated Prefrontal Cortex Model of Dynamic Task Switching Cognitive Science 26 503 520 O Reilly R C Noelle D C Braver T S Cohen J D 2002 Prefrontal Cortex and Dynamic Categorization Tasks Representational Organization and Neuromodulatory Control Cerebral Cortex 12 246 257 Frank M J Loughry B O Reilly R C 2001 Interactions Between Frontal Cortex and Basal Ganglia in Working Memory A Computational Model Cognitive Affective and Behavioral Neuroscience 1 137 160 O Reilly R C Braver T S Cohen J D 1999 A Biologically Based Computational Model of Working Memory Models of Working Memory Mechanisms of Active Maintenance and Executive Control Miyake A Shah P Eds New York Cambridge University Press Nature of Cortical Learning and Processing My Ph D thesis was on a model of cortical learning called Leabra I have now developed a much simpler and more biologically based version of the central ideas developed in the thesis Because this algorithm combines many of most important existing computational ideas for learning and processing in

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  • CCNLab/resources - Computational Cognitive Neuroscience Wiki
    Resources Publications Talk Videos Slides Media Coverage Funding Links Contact Retrieved from https grey colorado edu CompCogNeuro index php title CCNLab resources oldid 2514 Navigation menu Personal tools Create account Log in Namespaces Page Discussion Variants Views Read View source View history Actions Search Navigation Main page CCN Book Recent changes Random page Help Tools What links here Related changes Special pages Permanent link Page information Print export Create a

    Original URL path: https://grey.colorado.edu/CompCogNeuro/index.php/CCNLab/resources (2015-07-03)
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