Coupling dynamics and synchronization mode in driven FitzHugh–Nagumo neurons

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-04-01 Epub Date: 2025-02-14 DOI:10.1016/j.chaos.2025.116110
Nivea D. Bosco, Cesar Manchein, Paulo C. Rech
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Abstract

We introduce a novel four-dimensional continuous-time nonautonomous dynamical system formed by coupling two sinusoidally driven FitzHugh–Nagumo (FHN) neurons. The study investigates dynamical behaviors and synchronization properties under three distinct scenarios: (i) coupling two identical chaotic systems, (ii) coupling a periodic system with a chaotic system, and (iii) coupling two identical periodic systems. Synchronization is analyzed in detail for the first two scenarios. In case (i), coupling suppresses chaotic behavior, inducing periodic dynamics characterized by intricate discontinuous spirals and self-similar shrimp-shaped periodic structures. Case (ii) reveals shrimp-shaped periodic structures and regions of coexisting attractors, showcasing the multistability inherent in nonlinear systems. For these two scenarios, we explore the transition from asynchronous states to intermittent and nearly synchronized states, driven by increasing coupling strength. The emergence of synchronization is interpreted in terms of the interaction between individual neuron dynamics and coupling. In case (iii), coupling completely stabilizes periodic dynamics, leading to an uniform periodic regime without chaotic behavior. Across all scenarios, increasing coupling strength in nonautononous FHN neuron models induces a transition from eventual finite-time synchronization events to stable coupling-driven synchronized states. We also demonstrate that, for two-coupled nonautonomous FHN neurons, the individual dynamics play a less significant role in the synchronization process compared to previous findings in coupled autonomous neuron models. This work highlights the complex interplay of coupling and intrinsic individual nonautonomous FHN neuron dynamics.
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驱动FitzHugh-Nagumo神经元的耦合动力学与同步模式
提出了一种由两个正弦波驱动的FitzHugh-Nagumo (FHN)神经元耦合而成的四维连续非自治动力系统。研究了三种不同情况下的动力学行为和同步特性:(i)耦合两个相同的混沌系统,(ii)耦合一个周期系统与一个混沌系统,(iii)耦合两个相同的周期系统。对前两种场景的同步进行了详细分析。在情形(i)中,耦合抑制混沌行为,诱导以复杂的不连续螺旋和自相似虾形周期结构为特征的周期动力学。例(ii)揭示了虾形周期结构和共存吸引子区域,展示了非线性系统固有的多稳定性。对于这两种场景,我们探讨了从异步状态到间歇性和几乎同步状态的转换,这是由不断增加的耦合强度驱动的。同步的出现可以用单个神经元动力学和耦合之间的相互作用来解释。在情形(iii)中,耦合完全稳定了周期动力学,导致均匀的周期状态而没有混沌行为。在所有情况下,非自主FHN神经元模型中耦合强度的增加诱导了从最终有限时间同步事件到稳定耦合驱动同步状态的转变。我们还证明,对于双耦合非自主FHN神经元,个体动力学在同步过程中的作用比先前在耦合自主神经元模型中的发现要小。这项工作强调了耦合和内在个体非自治FHN神经元动力学的复杂相互作用。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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