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Research Article | Open Access

Delay-induced instability and oscillations in a multiplex neural system with Fitzhugh-Nagumo networks

Weijie Ding1Xiaochen Mao1( )Lei Qiao1Mingjie Guan1Minqiang Shao2
Department of Engineering Mechanics, College of Mechanics and Materials, Hohai University, Nanjing 211100, China
State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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Abstract

In this paper, we study the nonlinear dynamics of a multiplex system consisting of neuronal networks each with an arbitrary number of FitzHugh-Nagumo neurons and intra-connections and delayed couplings. The network contains an autaptic connection formed by the axon of a neuron on its own soma or dendrites. The stability and instability of the network are determined and the existence of bifurcation is discussed. Then, the study turns to validate the theoretical analysis through numerical simulations. Abundant dynamical phenomena of the network are explored, such as coexisting multi-period oscillations and chaotic responses.

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Electronic Research Archive
Pages 1075-1086

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Cite this article:
Ding W, Mao X, Qiao L, et al. Delay-induced instability and oscillations in a multiplex neural system with Fitzhugh-Nagumo networks. Electronic Research Archive, 2022, 30(3): 1075-1086. https://doi.org/10.3934/era.2022057

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Received: 14 October 2021
Revised: 16 November 2021
Accepted: 16 November 2021
Published: 15 March 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)