期刊
SCIENCE
卷 307, 期 5712, 页码 1121-1124出版社
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.1104171
关键词
-
资金
- NIMH NIH HHS [1R01MH067991-01] Funding Source: Medline
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.
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