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

TitleFlexible control of mutual inhibition: a neural model of two-interval discrimination.
Publication TypeJournal Article
Year of Publication2005
AuthorsMachens, CK, Romo, R, Brody, CD
Date Published2005 Feb 18
KeywordsAlgorithms, Animals, Cognition, Computer Simulation, Decision Making, Discrimination (Psychology), Frontal Lobe, Macaca, Mathematics, Memory, Models, Neurological, Nerve Net, Neural Inhibition, Neural Networks (Computer), Neurons, Neurons, Afferent, Nonlinear Dynamics, Prefrontal Cortex, Psychomotor Performance, Somatosensory Cortex

<p>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.</p>

Alternate JournalScience
PubMed ID15718474
Grant List1R01MH067991-01 / MH / NIMH NIH HHS / United States