Flexible control of mutual inhibition: A neural model of two-interval discrimination

Christian K. Machens, Ranulfo Romo, Carlos D. Brody

Research output: Contribution to journalArticle

308 Scopus citations

Abstract

Networks adapt to environmental demands by switching between distinct dynamical behaviors. The activity of frontal-lobe neurons during two-interval discrimination tasks is an example of these adaptable dynamics. Subjects first perceive a stimulus, then hold it in working memory, and finally make a decision by comparing it with a second stimulus. We present a simple mutual-inhibition network model that captures all three task phases within a single framework. The model integrates both working memory and decision making because its dynamical properties are easily controlled without changing its connectivity. Mutual inhibition between nonlinear units is a useful design motif for networks that must display multiple behaviors.

Original languageEnglish (US)
Pages (from-to)1121-1124
Number of pages4
JournalScience
Volume307
Issue number5712
DOIs
StatePublished - Feb 18 2005

All Science Journal Classification (ASJC) codes

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