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中国物理学会期刊

小世界生物神经网络的相干共振研究

CSTR: 32037.14.aps.57.2849

Coherence resonance in neural networks with small-world connections

CSTR: 32037.14.aps.57.2849
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  • 研究了无外界周期信号时Hodgkin-Huxley模型小世界生物神经网络的非线性响应.数值模拟结果显示:当噪声强度取某一有限值时,峰序列有序度可以达到最大,即产生相干共振现象.同时发现: 随着网络规模N的变化,相干共振系数cv的极小值不是一个,而是多个.这表明相干共振可发生在神经元集群数目特定的不同规模的网络中.

     

    The nonlinear response of small-world biological nerve network in the Hodgkin-Huxley model in the absence of external periodic signal is studied. Simulation results show the ordered degree of spike sequence may reach a maximum when the strength of noise is a certain limited value. Namely, coherence resonance phenomenon is produced in small-world biology nerve network. The number of minima of coherence resonance coefficient cv is more than one. This indicates that coherence resonance may occur in different scales of networks.

     

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