突触噪声作用下的IF阈值神经元模型的随机共振  

STOCHASTIC RESONANCE OF AN INTEGRATE-AND-FIRE NEURON MODEL WITH THRESHOLD DRIVEN BY SYNAPTIC NOISE

作　　者：焦贤发[1] 王俊琦[1] 王如彬[2] 

机构地区：[1]合肥工业大学数学学院 [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

出　　处：《动力学与控制学报》2010年第3期273-276,共4页Journal of Dynamics and Control

基　　金：国家自然科学基金资助项目(10872068)~~

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.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.

关 键 词：随机共振 噪声 积分放电模型 输出幅值增益 

分 类 号：O324[理学—一般力学与力学基础]