Vibrational resonance in neuron populations

被引:133
作者
Deng, Bin [1 ]
Wang, Jiang [1 ]
Wei, Xile [1 ]
Tsang, K. M. [2 ]
Chan, W. L. [2 ]
机构
[1] Tianjin Univ, Sch Elect & Automat Engn, Tianjin 300072, Peoples R China
[2] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
complex networks; network topology; neurophysiology; STOCHASTIC RESONANCE; COHERENCE RESONANCE; NOISE;
D O I
10.1063/1.3324700
中图分类号
O29 [应用数学];
学科分类号
070104 [应用数学];
摘要
In this paper different topologies of populations of FitzHugh-Nagumo neurons have been introduce to investigate the effect of high-frequency driving on the response of neuron populations to a subthreshold low-frequency signal. We show that optimal amplitude of high-frequency driving enhances the response of neuron populations to a subthreshold low-frequency input and the optimal amplitude dependences on the connection among the neurons. By analyzing several kinds of topology (i.e., random and small world) different behaviors have been observed. Several topologies behave in an optimal way with respect to the range of low-frequency amplitude leading to an improvement in the stimulus response coherence, while others with respect to the maximum values of the performance index. However, the best results in terms of both the suitable amplitude of high-frequency driving and high stimulus response coherence have been obtained when the neurons have been connected in a small-world topology.
引用
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页数:7
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