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

Publication Year
2005

Type

Journal Article
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.

Journal
Science
Volume
307
Issue
5712
Pages
1121-4
Date Published
2005 Feb 18
ISSN Number
1095-9203
Alternate Journal
Science
PMID
15718474