期刊
NEUROCOMPUTING
卷 69, 期 10-12, 页码 1175-1178出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2005.12.069
关键词
computational neuroscience; decision-making; network model; lateral intraparietal area
In this work we study the basic competitive and cooperative mechanisms of neural activity in the context of a two-alternative free-choice eye-movement task, as a function of the expectation of reward. We use a simplified version of the protocol followed by Platt and Glimcher [Neural correlates of decision variables in parietal cortex, Nature 400 (1999) 233-238], in which each choice is associated with independent underlying reward schedules, and explicitly model it using a biophysically realistic network of integrate-and-fire neurons that forms a categorical choice from the expected gain contingencies, via a simple bias mechanism. The model accounts for several experimental findings, such as the gain-modulated firing activity observed by Platt and Glimcher and the matching law. (c) 2006 Elsevier B.V. All rights reserved.
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