Non-Gaussian Colored Noise Optimized Spatial Coherence of a Hodgkin–Huxley Neuronal Network
SUN Xiao-Juan1,2, LU Qi-Shao3**
1School of Science, Beijing University of Posts and Telecommunications, Beijing 100876 2Zhou Pei-Yuan Center for Applied Mathematics, Tsinghua Univeristy, Beijing 100084 3Department of Dynamics and Control, Beihang University, Beijing 100191
Abstract：We numerically study how non-Gaussian colored noise affects the spatial coherence of a Hodgkin–Huxley neuronal network. From the simulation results, we find that there exists some intermediate noise intensities, correlation time of the colored noise, and the deviation from Gaussian colored noise, for which an ordered pattern with a characteristic spatial frequency of the system comes forth in a resonant manner. Namely, under certain conditions, spatial coherence of the studied neuronal network can be optimized by the non-Gaussian colored noise, which indicates the occurrence of spatial coherence resonance.
2014, Vol. 31 
