Modeling working memory and decision making using generic neural microcircuits

Authors:
Prashant Joshi
Affiliations:
Institute for Theoretical Computer Science, Technische Universität Graz, Graz, Austria
Venue:
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Year:
2006

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Abstract

Classical behavioral experiments to study working memory typically involve three phases. First the subject receives a stimulus, then holds it in the working memory, and finally makes a decision by comparing it with another stimulus. A neurocomputational model using generic neural microcircuits with feedback is presented here that integrates the three computational stages into a single unified framework. The architecture is tested using the two-interval discrimination and delayed-match-to-sample experimental paradigms as benchmarks.