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Harmonic stochastic resonance-enhanced signal detecting in NW small-world neural network 被引量:1

Harmonic stochastic resonance-enhanced signal detecting in NW small-world neural network
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摘要 The harmonic stochastic resonance-enhanced signal detecting in Newman-Watts small-world neural network is studied using the Hodgkin-Huxley dynamical equation with noise. If the connection probability p, coupling strength gsyn and noise intensity D matches well, higher order resonance will be found and an optimal signal-to-noise ratio will be obtained. Then, the reasons are given to explain the mechanism of this appearance. The harmonic stochastic resonance-enhanced signal detecting in Newman-Watts small-world neural network is studied using the Hodgkin-Huxley dynamical equation with noise. If the connection probability p, coupling strength gsyn and noise intensity D matches well, higher order resonance will be found and an optimal signal-to-noise ratio will be obtained. Then, the reasons are given to explain the mechanism of this appearance.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第11期230-235,共6页 中国物理B(英文版)
基金 Project supported by the Natural Science Foundation of Jiangsu Province,China (Grant No. 06KJB140110) the Project of Xuzhou Normal Uiniversity,China (Grant Nos. 08XLB06 and 07PYL02)
关键词 stochastic resonance SMALL-WORLD HODGKIN-HUXLEY signal-to-noise ratio stochastic resonance, small-world, Hodgkin-Huxley, signal-to-noise ratio
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