Optimal synchronization in small-world biological neural networks with time-varying weights

Hongyu Zheng and Xiaoshu Luo

Chaos, Solitons & Fractals, 2009, vol. 41, issue 1, 516-520

Abstract: In this paper, a new model of small-world biological neural networks based on biophysical Hodgkin–Huxley neurons with time-varying weights is proposed. Then the synchronization phenomenon of small-world biological neural networks evoked by the learning rate is studied. The study shows that there exists an optimal synchronization state by changing the learning rate.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:41:y:2009:i:1:p:516-520

DOI: 10.1016/j.chaos.2008.02.022

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