Adam Johnson kísérletes és elméleti módszerek ötvözésével vizsgálja a hippokampusz szerepét a döntéshozatali mechanizmusokban.
Néhány releváns cikk az előadótól:
van der Meer MA, Johnson A, Schmitzer-Torbert NC, Redish AD.
Triple dissociation of information processing in dorsal striatum, ventral striatum, and hippocampus on a learned spatial decision task.
Neuron 67:25-32, 2010.
Johnson A, Fenton AA, Kentros C, Redish AD.
Looking for cognition in the structure within the noise.
Trends Cogn Sci 13:55-64, 2009.
Redish AD, Jensen S, Johnson A.
A unified framework for addiction: vulnerabilities in the decision process.
Behav Brain Sci 31:415-37, 2008.
Johnson A, van der Meer MA, Redish AD.
Integrating hippocampus and striatum in decision-making.
Curr Opin Neurobiol 17:692-7, 2007.
Redish AD, Johnson A.
A computational model of craving and obsession.
Ann N Y Acad Sci 1104:324-39, 2007.
Johnson A, Redish AD.
Neural ensembles in CA3 transiently encode paths forward of the animal at a decision point.
J Neurosci 45:12176-89, 2007.
Üdvözlettel,
Lengyel Máté
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Computational and Biological Learning LabCambridge University Engineering DepartmentTrumpington Street, Cambridge CB2 1PZ, UKtel: +44 (0)1223 748 532, fax: +44 (0)1223 332 662Department of Cognitive ScienceCentral European UniversityFrankel Leo ut 30-34, Budapest H-1023, Hungarytel: +36 1 887 5142 , fax: +36 1 887 5010 email: m.lengyel@eng.cam.ac.ukweb: www.eng.cam.ac.uk/~m.lengyel
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The CEU Department of Cognitive Science cordially invites you to a talk (as part of its Departmental Colloquium series)
by
Adam Johnson (Bethel University)
Date: Friday, July 4, 2014 - 17:00 - 18:30
Location: Department of Cognitive Science, CEU, Frankel Leó út 30-34., Room G15
Title -- Hippocampal based schema learning and exploration: A theory
Abstract -- The hippocampus plays a critical role in spatial look-ahead, single-trial learning, memory consolidation, and imagination. Each of these learning dynamics depends on memory schemas. We have developed a hierarchical Bayesian inference approach learns the structure of behavioral tasks or schemas in order to predict future task observations. Using this general inference framework we show how the approach can account for (1) the hippocampal dependent of single trial learning, (2) variable time memory consolidation, (3) hippocampal place cell mapping and remapping, and (4) spontaneous object exploration in the rodent literature. Finally, we suggest how these results can be applied in human behavior and imaging research.
We're looking forward to see you there (Frankel Leo u. 30-34) !