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幽门中央模式发生器的混沌神经元进行的拓扑选择

Topology selection by chaotic neurons of a pyloric central pattern generator.

作者信息

Huerta R, Varona P, Rabinovich M I, Abarbanel H D

出版信息

Biol Cybern. 2001 Jan;84(1):L1-8. doi: 10.1007/PL00007976.

Abstract

The pyloric Central Pattern Generator (CPG) in the lobster has an architecture in which every neuron receives at least one connection from another member of the CPG. We call this a "non-open" network topology. An "open" topology, where at least one neuron does not receive synapses from any other CPG member, is found neither in the pyloric nor in the gastric mill CPG. Here we investigate a possible reason for this topological structure using the ability to perform a biologically functional task as a measure of the efficacy of the network. When the CPG is composed of model neurons that exhibit regular membrane voltage oscillations, open topologies are as able to maximize this functionality as non-open topologies. When we replace these models by neurons which exhibit chaotic membrane voltage oscillations, the functional criterion selects non-open topologies. As isolated neurons from invertebrate CPGs are known in some cases to undergo chaotic oscillations, this suggests that there is a biological basis for the class of non-open network topologies that we observe.

摘要

龙虾的幽门中央模式发生器(CPG)具有一种架构,其中每个神经元至少从CPG的另一个成员接收一个连接。我们将此称为“非开放”网络拓扑结构。在幽门CPG和胃磨CPG中均未发现“开放”拓扑结构,即至少有一个神经元不接收来自任何其他CPG成员的突触连接。在这里,我们使用执行生物学功能任务的能力作为网络功效的衡量标准,来研究这种拓扑结构的一个可能原因。当CPG由表现出规则膜电压振荡的模型神经元组成时,开放拓扑结构与非开放拓扑结构一样能够使这种功能最大化。当我们将这些模型替换为表现出混沌膜电压振荡的神经元时,功能标准会选择非开放拓扑结构。由于在某些情况下已知无脊椎动物CPG中的孤立神经元会经历混沌振荡,这表明我们观察到的非开放网络拓扑结构类别具有生物学基础。

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