Synchronization of N-Coupled Hindmarsh-Rose Neuron Model with Time-Varying Delays

Sourav K. Bhowmick, S. Panja
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引用次数: 1

Abstract

This paper dwells upon the synchronization phenomena in Hindmarsh-Rose (HR) neuron model of $N$ number of neurons with time-varying communication delays between them. By considering a suitable Lyapunov-Krasovskii (L-K) functional, the synchronization criteria is obtained in terms of linear matrix inequality (LMI) for asymptotically stabilizing the error dynamics between the master-slave neuron configuration. The effectiveness of the proposed method is established through the numerical simulations of the neuron model.
时变时滞n -耦合Hindmarsh-Rose神经元模型的同步
本文研究了$N$个神经元之间具有时变通信延迟的Hindmarsh-Rose (HR)神经元模型中的同步现象。通过考虑合适的Lyapunov-Krasovskii (L-K)泛函,利用线性矩阵不等式(LMI)得到了主从神经元构型误差动态渐近稳定的同步准则。通过神经元模型的数值模拟,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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