Network Effect on the Enhancement of Stochastic Resonance in a Randomly Connected Neural Network

被引：0
|
作者：
Deng, Bin [1 ]
Wang, Lin [1 ]
Wei, Xile [1 ]
Yu, Haitao [1 ]
Wang, Jiang [1 ]
机构：
[1] Tianjin Univ, Sch Elect Engn & Automat, Nankai, Tianjin Provinc, Peoples R China
来源：
2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年
基金：
中国国家自然科学基金;
关键词：
Stochastic Resonance; Neural Network; NOISE; MODEL; OSCILLATIONS; STIMULATION; SYSTEMS; NEURONS; BRAIN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigate the effects of the network amplification on stochastic resonance in a randomly connected neural network. The network consists of excitatory and inhibitory neurons with similar ratio as that in the mammalian neocortex and the axonal conduction delays between neurons are also considered. Numerical results elucidate that the resonance in the neural network is just the expression of some amplification of the field effects by the whole network rather than an expression of single neurons intrinsic dynamics.
引用
收藏
页码：5457 / 5462
页数：6
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