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珊瑚神经网络中的行波模型。

Model of traveling waves in a coral nerve network.

作者信息

Chen Eugenia, Stiefel Klaus M, Sejnowski Terrence J, Bullock Theodore H

机构信息

Computational Neurobiology Laboratory and Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.

出版信息

J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2008 Feb;194(2):195-200. doi: 10.1007/s00359-007-0305-z. Epub 2008 Jan 29.

Abstract

Coral polyps contract when electrically stimulated and a wave of contraction travels from the site of stimulation at a constant speed. Models of coral nerve networks were optimized to match one of three different experimentally observed behaviors. To search for model parameters that reproduce the experimental observations, we applied genetic algorithms to increasingly more complex models of a coral nerve net. In a first stage of optimization, individual neurons responded with spikes to multiple, but not single pulses of activation. In a second stage, we used these neurons as the starting point for the optimization of a two-dimensional nerve net. This strategy yielded a network with parameters that reproduced the experimentally observed spread of excitation.

摘要

珊瑚虫在受到电刺激时会收缩,并且收缩波会以恒定速度从刺激部位传播开来。珊瑚神经网络模型经过优化,以匹配三种不同的实验观察到的行为之一。为了寻找能够重现实验观察结果的模型参数,我们将遗传算法应用于越来越复杂的珊瑚神经网模型。在优化的第一阶段,单个神经元对多个而非单个激活脉冲产生尖峰反应。在第二阶段,我们将这些神经元作为二维神经网络优化的起点。这种策略产生了一个具有能够重现实验观察到的兴奋传播参数的网络。

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