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0898-929X
E-ISSN
1530-8898
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4.69

Journal of Cognitive Neuroscience

June 2011, Vol. 23, No. 6, Pages 1549-1566
(doi: 10.1162/jocn.2010.21523)
© 2011 Massachusetts Institute of Technology
A Computational Model of How Cholinergic Interneurons Protect Striatal-dependent Learning
Article PDF (559.33 KB)
Abstract

An essential component of skill acquisition is learning the environmental conditions in which that skill is relevant. This article proposes and tests a neurobiologically detailed theory of how such learning is mediated. The theory assumes that a key component of this learning is provided by the cholinergic interneurons in the striatum known as tonically active neurons (TANs). The TANs are assumed to exert a tonic inhibitory influence over cortical inputs to the striatum that prevents the execution of any striatal-dependent actions. The TANs learn to pause in rewarding environments, and this pause releases the striatal output neurons from this inhibitory effect, thereby facilitating the learning and expression of striatal-dependent behaviors. When rewards are no longer available, the TANs cease to pause, which protects striatal learning from decay. A computational version of this theory accounts for a variety of single-cell recording data and some classic behavioral phenomena, including fast reacquisition after extinction.