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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
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| Cite this article: |
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SUN Xiao-Juan, LU Qi-Shao 2014 Chin. Phys. Lett. 31 020502 |
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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.
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Received: 22 July 2013
Published: 28 February 2014
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| PACS: |
05.45.-a
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(Nonlinear dynamics and chaos)
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05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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89.75.Kd
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(Patterns)
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