TY - JOUR
T1 - A computational model of how cholinergic interneurons protect striatal-dependent learning
AU - Gregory Ashby, F.
AU - Crossley, Matthew J.
N1 - Copyright the Publisher 2011. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2011/6
Y1 - 2011/6
N2 - 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 howsuch learning ismediated. 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 fromthis inhibitory effect, thereby facilitating the learning and expression of striataldependent 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.
AB - 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 howsuch learning ismediated. 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 fromthis inhibitory effect, thereby facilitating the learning and expression of striataldependent 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.
UR - http://www.scopus.com/inward/record.url?scp=79953724081&partnerID=8YFLogxK
U2 - 10.1162/jocn.2010.21523
DO - 10.1162/jocn.2010.21523
M3 - Article
C2 - 20521851
AN - SCOPUS:79953724081
SN - 0898-929X
VL - 23
SP - 1549
EP - 1566
JO - Journal of cognitive neuroscience
JF - Journal of cognitive neuroscience
IS - 6
ER -