Delay-aided stochastic multiresonances on scale-free FitzHugh-Nagumo neuronal networks

被引：0

作者：

甘春标 ^{[1
]}

Perc Matjaz ^{[2
]}

王青云 ^{[3
,4
]}

机构：

[1] Institute of Applied Mechanics,School of Aeronautics and Astronautics,Zhejiang University

[2] Department of Physics,Faculty of Natural Sciences and Mathematics,University of Maribor,Koroska Cesta 160,SI-2000 Maribor,Slovenia

[3] School of Aeronautic and Engineering Science,Beijing University of Aeronautics and Astronautics

[4] School of Statistics and Mathematics,Inner Mongolia Finance and Economics College

来源：

Chinese Physics B | 2010年 / 04期

基金：

中国国家自然科学基金;

关键词：

neuronal networks; delay; stochastic resonance;

D O I：

暂无

中图分类号：

N93 [非线性科学]; O175 [微分方程、积分方程];

学科分类号：

07 ; 070104 ;

摘要：

The stochastic resonance in paced time-delayed scale-free FitzHugh-Nagumo(FHN) neuronal networks is investigated.We show that an intermediate intensity of additive noise is able to optimally assist the pacemaker in imposing its rhythm on the whole ensemble.Furthermore,we reveal that appropriately tuned delays can induce stochastic multiresonances,appearing at every integer multiple of the pacemaker’s oscillation period.We conclude that fine-tuned delay lengths and locally acting pacemakers are vital for ensuring optimal conditions for stochastic resonance on complex neuronal networks.

引用

页码：130 / 135

页数：6

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