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Research Article | Open Access

Local stability and bifurcation of multi-delay fractional-order bidirectional ring neural networks with reaction-diffusion

Yi Min1,2( )
College of Mathematics and Physics, China Three Gorges University, Yichang 443002, China
Three Gorges Mathematical Research Center, China Three Gorges University, Yichang 443002, China
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Abstract

This paper investigated the Hopf bifurcation in fractional-order ring neural networks incorporating multiple time delays (leakage, transmission, and distributed delays) and reaction-diffusion effects. By introducing virtual neurons into the original system, a new model capable of equivalently describing the influence of distributed time delays was constructed. The critical conditions for the emergence of pure imaginary roots in the characteristic equation were analytically determined using the Coates flow graph and the holistic element method. Furthermore, by selecting the leakage and transmission delays as bifurcation parameters, explicit criteria for local stability and the existence of Hopf bifurcation were established. The theoretical findings were substantiated through numerical simulations.

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Electronic Research Archive
Pages 1238-1268

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Cite this article:
Min Y. Local stability and bifurcation of multi-delay fractional-order bidirectional ring neural networks with reaction-diffusion. Electronic Research Archive, 2026, 34(2): 1238-1268. https://doi.org/10.3934/era.2026057

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Received: 09 November 2025
Revised: 19 December 2025
Accepted: 04 January 2026
Published: 06 February 2026
©2026 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)