%0 Journal Article
%T Impact of Gaussian white noise on dynamics of map-based neural model<br>高斯白噪声对神经元映射模型动力学的影响*
%A LIU Yu-liang
%A WANG Jiang
%A YU Hai-tao
%A <br>刘玉亮
%A 王江
%A 于海涛
%J 计算机应用研究
%D 2011
%I 
%X This paper studied the phenomenon of coherence resonance on neurons induced by noise. Based on the two-dimensional map-based neural model, studied the effect of Gaussian white noise on the dynamics of neurons by numerical simulation, where Gaussian white noise was used to imitate the noisy environments of biological neural systems. It was found that adding the noise led to an enhancement of excitability of silent neurons, even induced spikes. When the noise intensity took an appropriate value, the regularity of spike series achieves best and coherence resonance occured. Moreover, also investigated the influence of system parameters on the resonance dynamics of the neuron. It was found that the resonance characteristic of the system was more obvious when the parameter value was more close to the bifurcation point. The results show an appropriate intensity of noise can enhance the information transmission of neurons.
%K neuron
%K two-dimensional map
%K Gaussian white noise
%K spike
%K coherence resonance<br>神经元
%K 二维映射模型
%K 高斯白噪声
%K 动作电位
%K 相干共振
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE072357D1BF0FEB73A84&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=0F11606241373434&eid=D87166E0C1014643&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14