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<p>In this paper, we study the fractional FitzHugh-Nagumo (FHN) equation which is a standard model for excitable systems; particularly nerve impulse propagation. We used the Mohand Iterative Transform Method (MTIM) and Mohand Residual Power Series Transform Method (MRPSM) to obtain approximate analytical solutions of the equation related to Caputo sense fractional order differential equations. The aim of these methods is to tackle the complications brought about by the fractional derivatives, enabling an efficient study of the behavior of the system. This work validates the effectiveness and reliability of the MTIM and MRPSM by comparing them with each other and with exact solutions. The study delivers significant contributions in unraveling the behaviour of fractional-order systems and serves as a platform for future studies in nonlinear differential equations from the realm of applied mathematics and computational physics.</p>

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Exploring fractional dynamics in the FitzHugh-Nagumo model with the Caputo operator

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月28日

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  • Musawa Yahya Almusawa,
  • Khalid Aldawsari,
  • Noorah Mshary

摘要

In this paper, we study the fractional FitzHugh-Nagumo (FHN) equation which is a standard model for excitable systems; particularly nerve impulse propagation. We used the Mohand Iterative Transform Method (MTIM) and Mohand Residual Power Series Transform Method (MRPSM) to obtain approximate analytical solutions of the equation related to Caputo sense fractional order differential equations. The aim of these methods is to tackle the complications brought about by the fractional derivatives, enabling an efficient study of the behavior of the system. This work validates the effectiveness and reliability of the MTIM and MRPSM by comparing them with each other and with exact solutions. The study delivers significant contributions in unraveling the behaviour of fractional-order systems and serves as a platform for future studies in nonlinear differential equations from the realm of applied mathematics and computational physics.