基于Fitzhugh-Nagumo神经元模型的两个神经元的分数阶同步

Mina Armanyos, A. Radwan, A. Madian
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引用次数: 2

摘要

本文利用分数阶域Fitzhugh-Nagumo模型研究了两个耦合神经元的同步问题。一般来说,在分数阶领域研究系统提供了对其行为的更广泛的看法。当神经元被推广到分数阶域时,在整数情况下所表现出的正常行为发生了变化。此外,两个神经元表现出不同的同步模式。采用非标准有限差分格式结合Grunwald-Letnikov离散方法求解神经元的分数阶系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractional-order synchronization of two neurons using Fitzhugh-Nagumo neuron model
This paper studies the synchronization of two coupled neurons using Fitzhugh-Nagumo model in the fractional-order domain. In general, studying systems in the fractional-order domain provides a wider scope view of their behavior. When the neuron is generalized into the fractional-order domain, the normal behaviors displayed in the integer case change. Furthermore, two neurons display various synchronization patterns. The neurons' fractional-order system is solved using non-standard finite difference scheme together with Grunwald-Letnikov discretization.
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