Harmonic stochastic resonance-enhanced signal detecting in NW small-world neural network  

作　　者：王道光 梁小明 王晶 杨成方 刘凯 吕华平 

机构地区：[1]School of Physics and Electronic Engineering,Xuzhou Normal University [2]Institute of Theoretical Physics,East China Normal University

出　　处：《Chinese Physics B》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)

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.

关 键 词：stochastic resonance SMALL-WORLD HODGKIN-HUXLEY signal-to-noise ratio 

分 类 号：N93[自然科学总论]