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突触噪声作用下的IF阈值神经元模型的随机共振
引用本文:焦贤发,王俊琦,王如彬.突触噪声作用下的IF阈值神经元模型的随机共振[J].动力学与控制学报,2010,8(3):273-276.
作者姓名:焦贤发  王俊琦  王如彬
作者单位:1. 合肥工业大学数学学院,合肥,230009
2. 华东理工大学信息科学与工程学院认知神经动力学研究所,上海,200237
基金项目:国家自然科学基金资助项目 
摘    要:基于带阈值的积分放电模型研究了神经元在突触递质噪声和周期信号驱动下的随机共振现象.利用平均法得到系统输出幅值增益的精确表达式,考察了输出幅值增益与信号频率、噪声强度、相关时间及非对称度的关系.发现输出幅值增益随着这些参量的演化曲线在一定条件下呈非单调的,这些都表明在突触递质噪声和周期信号驱动下的神经发放确实存在随机共振现象.

关 键 词:随机共振  噪声  积分放电模型  输出幅值增益
收稿时间:2009/12/13 0:00:00
修稿时间:2010/3/20 0:00:00

Stochastic resonance of an integrate and fire neuron model with threshold driven by synaptic noise
Jiao Xianf,Wang Junqi and Wang Rubin.Stochastic resonance of an integrate and fire neuron model with threshold driven by synaptic noise[J].Journal of Dynamics and Control,2010,8(3):273-276.
Authors:Jiao Xianf  Wang Junqi and Wang Rubin
Affiliation:Jiao Xianfa1 Wang Junqi1 Wang Rubin2(1.School of Mathematics,Hefei University of Technology,Hefei 230009,China ) (2.Institute for Cognitive Neurodynamics,School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China )
Abstract:Stochastic Resonance (SR) of an integrate-and-fire neuron model with threshold subject to synaptic noise and input signal was investigated. The amplitude gain of the output signal was obtained by the method of average. Numerical simulation shows that the evolution of the amplitude gain with regard to the input frequency is nonmonotonous in different intensity, correlation time and asymmetry of the synaptic noise. Those show that SR occurs during neuronal spiking driven by synaptic noise and period input.
Keywords:stochastic resonance  noise  integrate-and-fire model  amplitude gain
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