非相同Hindmarsh-Rose模型的耦合网络同步

Qiuju Jia, Zengqiang Chen
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引用次数: 3

摘要

神经元是神经元系统和信息处理的基本单位功能。研究动作电位的起始和放电模式有助于理解神经编码的机制。近年来,神经元网络的混沌同步问题已成为神经科学领域亟待解决的问题。研究表明,耦合神经元网络的同步性与帕金森病和癫痫有密切关系。本文分析了具有相同初始条件和非相同参数集的非相同Hindmarsh-Rose神经元模型耦合网络。研究网络连接类型和耦合强度对神经元网络同步的作用,对神经科学和临床医学研究具有重要意义。
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Coupled network synchronization of non-identical Hindmarsh-Rose model
Neuron is the basic unit function of neuron system and information processing. Studying the initiation of action potential and firing patterns is useful to understand the mechanism of neural coding. Recently, the chaotic synchronization of neuron networks has been an urgent problem in neuroscience. Researches have shown that the synchronization of coupled neuron network has a close relationship Parkinson's disease and epilepsy. In this paper, we analyze the non-identical Hindmarsh-Rose neuron model coupled network with identical initial conditions and non-identical parameter set. Studying the role of network connection types and the coupling strength to the synchronization of neuron network may play a significance role to neuroscience and clinical medicine research.
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