%0 Journal Article
%T The second super-harmonic stochastic resonance in the neural networks with small-world character<br>小世界神经网络的二次超谐波随机共振
%A Zhou Xiao-Rong
%A Luo Xiao-Shu
%A Jiang Pin-Qun
%A Yuan Wu-Jie
%A <br>周小荣
%A 罗晓曙
%A 蒋品群
%A 袁五届
%J 物理学报
%D 2007
%I 
%X Stochastic resonance is a common natural phenomenon in nonlinear systems. By studying the relations between the out put signal-to-noise ratio (SNR) of the biologic neural network with small-world character and the rewiring probability p which reflects the effect of small-world,the coupling strength c, amplitude A of input signal, we revealed some regularities of the second super-harmonic stochastic resonance in the biologic neural network, and found that the out put SNR doesn't monotonicly increase as the forcing amplitude A increases, but there exists an optimal value AO for the Hodgkin-Huxley (HH) neural network with small-world character. The out put SNR reaches its maximum when A is equal to AO.
%K stochastic resonance
%K second super-harmonic
%K small-world network
%K signal-to-noise ration (SNR)<br>随机共振
%K 二次超谐波
%K 小世界网络
%K 信噪比
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=A7F52A03CA823BF8&yid=A732AF04DDA03BB3&vid=014B591DF029732F&iid=F3090AE9B60B7ED1&sid=461571C5B843F7F0&eid=8E7D57EB8C9579FE&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=26