Stochastic dynamics of the fitzhugh-nagumo neuron model through a modified van der pol equation with fractional-order term and gaussian white noise excitation

Boris Anicet Guimfack, Conrad Bertrand Tabi, Alidou Mohamadou, Timoléon Crépin Kofané

Research output: Contribution to journalArticlepeer-review

Abstract

The stochastic response of the FitzHugh-Nagumo model is addressed using a modified Van der Pol (VDP) equation with fractional-order derivative and Gaussian white noise excitation. Via the generalized harmonic balance method, the term related to fractional derivative is splitted into the equivalent quasi-linear dissipative force and quasi-linear restoring force, leading to an equivalent VDP equation without fractional derivative. The analytical solutions for the equivalent stochastic equation are then investigated through.

Original languageEnglish
Pages (from-to)2229-2243
Number of pages15
JournalDiscrete and Continuous Dynamical Systems - Series S
Volume14
Issue number7
DOIs
Publication statusPublished - Jul 2021

All Science Journal Classification (ASJC) codes

  • Analysis
  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

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