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皮质纹状体电路中动机驱动的动作选择的计算模型。

Computational models of motivated action selection in corticostriatal circuits.

机构信息

Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA.

出版信息

Curr Opin Neurobiol. 2011 Jun;21(3):381-6. doi: 10.1016/j.conb.2011.02.013. Epub 2011 Apr 15.

DOI:10.1016/j.conb.2011.02.013
PMID:21498067
Abstract

Computational models of the basal ganglia have matured and received increasing attention over the last decade. This article reviews some of the theoretical advances offered by these models, focusing on motor and cognitive action selection, learning, and the interaction between multiple corticostriatal circuits in selection and learning.

摘要

过去十年中,基底神经节的计算模型已经成熟并受到越来越多的关注。本文回顾了这些模型所提供的一些理论进展,重点介绍了运动和认知动作选择、学习以及在选择和学习中多个皮质纹状体回路之间的相互作用。

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Computational models of motivated action selection in corticostriatal circuits.皮质纹状体电路中动机驱动的动作选择的计算模型。
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