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

被引：6
作者：
Wang Dao-Guang [1 ]
Liang Xiao-Ming [2 ]
Wang Jing [1 ]
Yang Cheng-Fang [1 ]
Liu Kai [1 ]
Lu Hua-Ping [1 ]
机构：
[1] Xuzhou Normal Univ, Sch Phys & Elect Engn, Xuzhou 221116, Peoples R China
[2] E China Normal Univ, Inst Theoret Phys, Shanghai 200062, Peoples R China
来源：
CHINESE PHYSICS B | 2010年 / 19卷 / 11期
关键词：
stochastic resonance; small-world; Hodgkin-Huxley; signal-to-noise ratio; NOISE-INDUCED SYNCHRONIZATION; HODGKIN-HUXLEY NEURONS; COHERENCE RESONANCE; SYSTEM; DYNAMICS; MODEL;
D O I：
10.1088/1674-1056/19/11/110515
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
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 g(syn) 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
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页数：6
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