Coherence Resonance of Excitable Chaotic Spiking Hindmarsh-Rose Neuron Model

Guang-Jun Zhang, Jue Wang, H. Yao, Xiang-Bo Wang, Jianxue Xu
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Abstract

In contrast to the previous researches on coherence resonance (CR), which have dealt with CR of periodic spiking neuron model, in this paper the characteristic of CR of chaotic neuron model, is researched. Whether CR of chaotic excitable neuron model can occur typically is of particular importance in neurophysiology, where CR is positive effect on transmission of neural information because noise can make the unordered chaotic spiking series of neurons more ordered. Here we show, based on a physical analysis and numerical evidence, that CR in the chaotic region of system bifurcation parameter can occur in the Hind marsh-Rose (HR) neuron model. Different from the previous results about CR that the occurrence and characterisitc of CR are dependent on the distance between the bifurcation point and bifurcation parameter, the occurrence and characterisitc of CR in this case are independent on the value of bifurcation parameter. CR in this case, which is relevant to an experimental phenomenon observed in neural electro physiology experiment, can be expected to occur commonly in other chaotic spiking neuron model.
可激发混沌脉冲Hindmarsh-Rose神经元模型的相干共振
与以往研究周期尖峰神经元模型相干共振的研究不同,本文研究了混沌神经元模型相干共振的特性。混沌可兴奋神经元模型的CR能否典型发生在神经生理学中具有重要意义,其中CR对神经信息的传递具有积极作用,因为噪声可以使无序的混沌尖峰序列变得更加有序。本文基于物理分析和数值证据表明,在Hind marsh-Rose (HR)神经元模型中,系统分岔参数混沌区域的CR可以发生。与以往关于CR的结果不同,CR的发生和特征取决于分岔点与分岔参数之间的距离,而本研究中CR的发生和特征与分岔参数的取值无关。本例的CR与神经电生理实验中观察到的一种实验现象有关,在其他的混沌尖峰神经元模型中也可能普遍发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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