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Simulating Parkinson's disease patient deficits using a COVIS-based computational model

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3 Author(s)
Helie, S. ; Dept. of Psychological & Brain Sci., Univ. of California, Santa Barbara, CA, USA ; Paul, E.J. ; Ashby, F.G.

COVIS is a neurobiologically motivated model of perceptual category learning. It includes two competing systems: the hypothesis-testing system mediates learning and performance in tasks requiring explicit reasoning; the procedural system mediates learning and performance in tasks that are achieved procedurally through trial and error learning when no explicit rule/strategy exists. Here we describe a computational implementation of COVIS used to model the differential effects of dopamine depletion on performance in a perceptual category-learning task and the simplified Wisconsin Card Sorting Test (WCST).

Published in:

Neural Networks (IJCNN), The 2011 International Joint Conference on

Date of Conference:

July 31 2011-Aug. 5 2011