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Research Article | Open Access

Exploring dynamic behavior and bifurcations in a Filippov neuronal system with a double-tangency singularity

Yi Yang1,2( )Rongfeng Li3Xiangguang Dai1,2Haiqing Li1,2Changcheng Xiang4( )
College of Computer Science and Engineering, Chongqing Three Gorges University, Chongqing, 404100, China
Key Laboratory of Intelligent Information Processing and Control of Chongqing Municipal Institutions of Higher education, Chongqing Three Gorges University, Chongqing, 404100, China
School of Intelligent Technology, Chongqing Preschool Education College, Chongqing, 404047, China
School of Mathematics and Statistics, Hubei Minzu University, Enshi, 445000, China
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Abstract

We investigated the phenomenon of pseudo-Hopf bifurcation in a Filippov Hindmarsh-Rose neuronal system with threshold switching, and the existence of crossing limit cycles was proved by constructing the half-return mapping. Through the threshold control, the firing state of the system could be switched, allowing transitions from a non-periodic state to a periodic state, as well as the evolution from spiking to bursting. Furthermore, through threshold switching, the system exhibited the coexistence of multiple attractors, the system could be in multiple stable states, or have multiple stable sets that could attract system trajectories. This meant that neuronal system could exhibits diverse dynamical behaviors than being limited to a single stable state. The phenomenon of period-doubling bifurcation also indicated that the system will eventually enter a chaotic state. By extending the analysis to nonlinear neuronal systems, this study contributes to a deeper understanding of complex dynamics and provides valuable insights for designing state switching in the application of neural dynamics.

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AIMS Mathematics
Pages 18984-19014

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Cite this article:
Yang Y, Li R, Dai X, et al. Exploring dynamic behavior and bifurcations in a Filippov neuronal system with a double-tangency singularity. AIMS Mathematics, 2024, 9(7): 18984-19014. https://doi.org/10.3934/math.2024924

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Received: 26 February 2024
Revised: 28 May 2024
Accepted: 29 May 2024
Published: 15 July 2024
©2024 the Author(s), licensee AIMS Press.

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