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Enhancing array stochastic resonance in excitable neuronal systems through both internal noise and external noise
Duan Fabing *,Xu Xiaolong
Qingdao University
*Correspondence author
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Funding: 教育部博士点基金（No.20051065002）
Opened online:20 January 2009
Accepted by: none
Citation: Duan Fabing ,Xu Xiaolong .Enhancing array stochastic resonance in excitable neuronal systems through both internal noise and external noise[OL]. [20 January 2009] http://en.paper.edu.cn/en_releasepaper/content/28084
 
 
A summing network of FitzHugh-Nagumo model neurons is studied in the context of array stochastic resonance. A noisy aperiodic input, assisted by collective internal array noise, stimulates the summing network for a more efficient response. This form of array stochastic resonance is characterized by a correlation coefficient, and demonstrates the beneficial strategies of both external noise and internal noise.
Keywords:Array stochastic resonance;summing network;internal noise;external noise;correlation coefficient
 
 
 

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