Analytical and numerical approaches to nerve impulse model of fractional‐order

Abstract

We consider a fractional-order nerve impulse model which is known as FitzHugh-Nagumo (F-N) model in this paper. Knowing the solutions of this model allows the management of the nerve impulses process. Especially, considering this model as fractional-order ensures to be able to analyze in detail because of the memory effect. In this context, first, we use an analytical solution and with the aim of this solution, we obtain numerical solutions by using two numerical schemes. Then, we demonstrate the walking wave-type solutions of the stated problem. These solutions include complex trigonometric functions, complex hyperbolic functions, and algebraic functions. In addition, the linear stability analysis is performed and the absolute error is occurred by comparing the numerical results with the analytical result. All of the results are depicted by tables and figures. This paper not only points out the exact and numerical solutions of the model but also compares the differences and the similarities of the stated solution methods. Therefore, the results of this paper are important and useful for either neuroscientists and physicists or mathematicians and engineers. KEYWORDS (G ′ /G, 1/G)-expansion method, finite difference scheme, FitzHugh-Nagumo model, Laplace decomposition method, linear stability analysis, numerical analysis 1 INTRODUCTION Nonlinear partial differential equations (NLPDEs) have several applications in engineering and physics. In recent years, the nonlinear fractional-order differential equations have been utilized in

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