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Dynamics of a neuron exposed to integer- and fractional-order discontinuous external magnetic flux
Authors:Rajagopal  Karthikeyan  Nazarimehr  Fahimeh  Karthikeyan  Anitha  Alsaedi  Ahmed  Hayat  Tasawar  Pham  Viet-Thanh
Affiliation:1.Center for Nonlinear Dynamics, Defence University, Bishoft, 6020, Ethiopia
;2.Institute of Energy, Mekelle University, Mekelle, 231, Ethiopia
;3.Biomedical Engineering Department, Amirkabir University of Technology, Tehran, 15875-4413, Iran
;4.NAAM Research Group, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
;5.Department of Mathematics, Quaid-i-Azam University, Islamabad, 45320, Pakistan
;6.Modelling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, 700000, Vietnam
;
Abstract:

We propose a modified Fitzhugh-Nagumo neuron (MFNN) model. Based on this model, an integer-order MFNN system (case A) and a fractional-order MFNN system (case B) were investigated. In the presence of electromagnetic induction and radiation, memductance and induction can show a variety of distributions. Fractional-order magnetic flux can then be considered. Indeed, a fractional-order setting can be acceptable for non-uniform diffusion. In the case of an MFNN system with integer-order discontinuous magnetic flux, the system has chaotic and non-chaotic attractors. Dynamical analysis of the system shows the birth and death of period doubling, which is a sign of antimonotonicity. Such a behavior has not been studied previously in the dynamics of neurons. In an MFNN system with fractional-order discontinuous magnetic flux, different attractors such as chaotic and periodic attractors can be observed. However, there is no sign of antimonotonicity.

Keywords:
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