分数阶FitzHugh-Nagumo模型的Hopf-like分岔和混合模振荡

Mohammed Salah Abdelouahab, R. Lozi
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引用次数: 7

摘要

在这项工作中,我们研究了在平面分数阶FitzHugh-Nagumo模型(FFHN)中出现的混合模振荡和鸭式爆炸。本文提出了一种全局-局部鸭形爆炸搜索算法(GLCESA),用于求解类hopf分岔点邻域中鸭形振荡的存在性。当FFHN模型的两个关键参数变化时,会出现不同的解模式,并且小振幅振荡的数量会增加。这种振荡的次数相对于这两个参数,分别用指数函数完美地拟合。最后,推测了二维分数阶自治动力系统中可能出现混沌,分数阶自治动力系统的分数阶接近于1。毕竟,本文证明了FFHN模型是一个非常简单的二维模型,具有令人难以置信的能力来呈现神经元的复杂动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hopf-like bifurcation and mixed mode oscillation in a fractional-order FitzHugh-Nagumo model
In this work we investigate the emergence of mixed-mode oscillations and canard explosion, in a planar fractional-order FitzHugh-Nagumo model (FFHN). An algorithm, called Global-Local Canard Explosion Search Algorithm (GLCESA) is developed and used to investigate the existence of canard oscillations in the neighbourhoods of Hopf-like bifurcation points. the appearance of various patterns of solutions is revealed, with an increasing number of small-amplitude oscillations when two key parameters of the FFHN model are varied. The numbers of such oscillations versus the two parameters, respectively, are perfectly fitted using exponential functions. Finally, it is conjectured that chaos could occur in a 2-dimensional fractional-order autonomous dynamical system, with a fractional order close to one. After all, the article demonstrates that the FFHN Model is a very simple 2-dimensional model with an incredible ability to present the complex dynamics of neurons.
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