Suppr超能文献

胆碱能中间神经元保护纹状体依赖型学习的计算模型。

A computational model of how cholinergic interneurons protect striatal-dependent learning.

机构信息

Department of Psychology, University of California, Santa Barbara, CA 93106, USA.

出版信息

J Cogn Neurosci. 2011 Jun;23(6):1549-66. doi: 10.1162/jocn.2010.21523. Epub 2010 Jun 3.

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.

摘要

技能习得的一个重要组成部分是学习该技能相关的环境条件。本文提出并检验了一种关于这种学习如何被介导的神经生物学详细理论。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乙酰胆碱中间神经元(称为持续活动神经元(TANs))提供的。TANs 被假设对纹状体的皮质输入施加持续的抑制影响,从而阻止任何纹状体依赖的动作的执行。TANs 学会在奖励环境中暂停,这种暂停使纹状体输出神经元摆脱这种抑制作用,从而促进纹状体依赖行为的学习和表达。当不再有奖励时,TAN 停止暂停,从而防止纹状体学习的衰退。该理论的计算版本解释了各种单细胞记录数据和一些经典行为现象,包括消退后的快速重新获得。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验