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How the self-coupled neuron can affect the chaotic synchronization of network

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  • Jia, Chenhui
  • Wang, Jiang
  • Deng, Bin

Abstract

We have calculated 34 kinds of three-cell neuron networks’ minimum coupling strength, from the result; we find that a self-coupled neuron can have some effect on the synchronization of the network. The reason is the self-coupled neurons make the number of neurons looks “decrease”, and they decrease the coupling strength of the other neurons which are coupled with them.

Suggested Citation

  • Jia, Chenhui & Wang, Jiang & Deng, Bin, 2009. "How the self-coupled neuron can affect the chaotic synchronization of network," Chaos, Solitons & Fractals, Elsevier, vol. 42(2), pages 1112-1119.
    • Handle: RePEc:eee:chsofr:v:42:y:2009:i:2:p:1112-1119
    DOI: 10.1016/j.chaos.2009.03.009
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    References listed on IDEAS

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    1. Fang, Xiao-Ling & Yu, Hong-Jie & Jiang, Zong-Lai, 2009. "Chaotic synchronization of nearest-neighbor diffusive coupling Hindmarsh–Rose neural networks in noisy environments," Chaos, Solitons & Fractals, Elsevier, vol. 39(5), pages 2426-2441.
    2. Yu, Hongjie & Peng, Jianhua, 2006. "Chaotic synchronization and control in nonlinear-coupled Hindmarsh–Rose neural systems," Chaos, Solitons & Fractals, Elsevier, vol. 29(2), pages 342-348.
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    Cited by:

    1. Deng, Bin & Zhu, Zechen & Yang, Shuangming & Wei, Xile & Wang, Jiang & Yu, Haitao, 2016. "FPGA implementation of motifs-based neuronal network and synchronization analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 388-402.

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