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侧向抑制的相互抑制:大脑中基本计算的网络基元。

Mutual inhibition of lateral inhibition: a network motif for an elementary computation in the brain.

机构信息

Janelia Research Campus, HHMI, Ashburn, VA 20147, United States.

Janelia Research Campus, HHMI, Ashburn, VA 20147, United States.

出版信息

Curr Opin Neurobiol. 2018 Apr;49:69-74. doi: 10.1016/j.conb.2017.12.019. Epub 2018 Feb 4.

DOI:10.1016/j.conb.2017.12.019
PMID:29353136
Abstract

A series of classical studies in non-human primates has revealed the neuronal activity patterns underlying decision-making. However, the circuit mechanisms for such patterns remain largely unknown. Recent detailed circuit analyses in simpler neural systems have started to reveal the connectivity patterns underlying analogous processes. Here we review a few of these systems that share a particular connectivity pattern, namely mutual inhibition of lateral inhibition. Close examination of these systems suggests that this recurring connectivity pattern ('network motif') is a building block to enforce particular dynamics, which can be used not only for simple behavioral choice but also for more complex choices and other brain functions. Thus, a network motif provides an elementary computation that is not specific to a particular brain function and serves as an elementary building block in the brain.

摘要

一系列非人类灵长类动物的经典研究揭示了决策背后的神经元活动模式。然而,这些模式的电路机制在很大程度上仍然未知。最近在更简单的神经系统中进行的详细电路分析已经开始揭示类似过程背后的连接模式。在这里,我们回顾了其中几个具有特定连接模式(即侧向抑制的相互抑制)的系统。对这些系统的仔细研究表明,这种反复出现的连接模式(“网络基元”)是强制特定动态的构建块,不仅可用于简单的行为选择,还可用于更复杂的选择和其他大脑功能。因此,网络基元提供了一种基本计算,不仅特定于特定的大脑功能,而且作为大脑中的基本构建块。

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