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

doi:10.1088/1674-1056/19/11/110515

Abstract 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.

Keywords: stochastic resonance small-world Hodgkin–Huxley signal-to-noise ratio

Received: 28 April 2009
Revised: 07 June 2010
Accepted manuscript online:

PACS:	87.18.Sn	(Neural networks and synaptic communication)
	87.19.L-	(Neuroscience)
	87.19.R-	(Mechanical and electrical properties of tissues and organs)

Fund: Project supported by the Natural Science Foundation of Jiangsu Province, China (Grant No. 06KJB140110) and the Project of Xuzhou Normal Uiniversity, China (Grant Nos. 08XLB06 and 07PYL02).

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Wang Dao-Guang(王道光), Liang Xiao-Ming(梁小明), Wang Jing(王晶), Yang Cheng-Fang(杨成方), Liu Kai(刘凯), and LÜ Hua-Ping(吕华平) Harmonic stochastic resonance-enhanced signal detecting in NW small-world neural network 2010 Chin. Phys. B 19 110515

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

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