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感觉处理与读取神经元群体编码的网络机制

Sensory processing and the network mechanisms for reading neuronal population codes.

作者信息

Lewis J E

机构信息

Department of Cellular and Molecular Medicine, University of Ottawa, Ontario, Canada.

出版信息

J Comp Physiol A. 1999 Oct;185(4):373-8. doi: 10.1007/s003590050397.

Abstract

In many neuronal systems, information appears to be represented in the activity of populations of neurons. Such neuronal population codes must also be read out, or interpreted, by downstream networks. Recent studies in both vertebrate and invertebrate systems have begun to elucidate some of the general mechanisms underlying these processes. Directed behaviors, that involve a directional response to a directional sensory input, have been a particularly useful context for these studies because, among other things, their input-output relationship is easily defined and experimentally controlled. We have recently shown that the neuronal network underlying a directed behavior in the medicinal leech utilizes a specific population coding scheme based on a neuronal population vector. A population vector of mechanosensory neuron activity correlates well with behavioral output and the connectivity of the downstream network is well suited for accurately reading out this population code.

摘要

在许多神经元系统中,信息似乎由神经元群体的活动来表征。这样的神经元群体编码也必须由下游网络读出或解释。最近在脊椎动物和无脊椎动物系统中的研究已开始阐明这些过程背后的一些一般机制。涉及对定向感觉输入的定向反应的定向行为,一直是这些研究特别有用的背景,因为除其他外,它们的输入-输出关系易于定义且可通过实验控制。我们最近表明,药用水蛭中一种定向行为背后的神经元网络利用基于神经元群体向量的特定群体编码方案。机械感觉神经元活动的群体向量与行为输出密切相关,并且下游网络的连接性非常适合精确读出这种群体编码。

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