Effects of Additive Gaussian Noise on Neuronal Firings in a Heterogeneous Neuronal Network
The effects of additive Gaussian white noise on neuronal firings of a heterogeneous neuronal network are discussed in this paper. Heterogeneity is introduced through a multiplicative noise term. We show that the mean firing rate and spatiotemporal order of the studied network can attach to a maximum value at some intermediate noise intensities of the additive noise. Furthermore, we find that the optimal noise intensity needed increases with the coupling strength of the neuronal network. And we also give some comparisons with other works.
Spatiotemporal order Mean firing rate Neuronal network
Xiaojuan Sun Shujuan Lu Qishao Lu
Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua Univeristy, Beijing 100084, China Department of Dynamics and Control, Beihang University, Beijing 100191, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
221-226
2009-11-15（万方平台首次上网日期，不代表论文的发表时间）