A Computational Model of How Cholinergic Interneurons Protect Striatal-dependent Learning
A Computational Model of How Cholinergic Interneurons Protect Striatal-dependent Learning
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DOI：
10.1162/jocn.2010.21523
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发表时间：
2011-06-01
影响因子：
3.2
通讯作者：
Crossley, Matthew J.
中科院分区：
文献类型：
--
作者：
Ashby, F. Gregory;Crossley, Matthew J.
技能获得的一个重要组成部分是学习与该技能相关的环境条件。本文提出并测试了神经生物学详细的理论，这种学习是如何介导的。该理论假设，这种学习的一个关键组成部分是由纹状体中的胆碱能中间神经元提供的，这些中间神经元被称为紧张性活性神经元（TAN）。假设TAN对纹状体的皮质输入施加紧张性抑制影响，从而防止执行任何纹状体依赖性动作。TAN学会在奖励环境中暂停，这种暂停将纹状体输出神经元从这种抑制作用中释放出来，从而促进纹状体依赖行为的学习和表达。当奖励不再可用时，TAN停止暂停，这保护了纹状体的学习免受衰退。这一理论的计算版本解释了各种单细胞记录数据和一些经典的行为现象，包括灭绝后的快速重新捕获。
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.