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arXiv 2501.10271nlin.PS
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FitzHugh-Nagumo模型中的空间局域化

Spatial localization in the FitzHugh-Nagumo model

Pedro Parra-Rivas, Fahad Al Saadi, Lendert Gelens

AI总结:

针对FitzHugh-Nagumo模型中空间局域态形成与分岔结构研究不足的问题,结合解析与数值技术开展一维局域结构分岔分析,揭示其同宿蛇行转变规律与振荡动力学特性,为空间局域化机制提供新见解。

摘要:

FitzHugh-Nagumo模型最初被提出用于研究神经动力学,此后已在包括心脏病学和生物学在内的多个领域得到应用。然而,该模型中空间局域态的形成与分岔结构仍未得到充分研究。在本工作中,我们对一维FitzHugh-Nagumo模型中的这类局域结构开展了详细的分岔分析。我们证明,当系统从图案-均匀双稳态转变为均匀-均匀双稳态时,这些局域态会在标准同宿蛇行与坍缩同宿蛇行之间发生平滑转变。此外,我们还探究了这些态在改变时间尺度分离度和扩散系数时表现出的振荡动力学。本研究结合解析与数值技术,揭示了空间局域结构的稳定性和动力学区间,为这一广泛使用的模型系统中空间局域化的调控机制提供了新见解。

英文摘要:

The FitzHugh-Nagumo model, originally introduced to study neural dynamics, has since found applications across diverse fields, including cardiology and biology. However, the formation and bifurcation structure of spatially localized states in this model remain underexplored. In this work, we present a detailed bifurcation analysis of such localized structures in one spatial dimension in the FitzHugh-Nagumo model. We demonstrate that these localized states undergo a smooth transition between standard and collapsed homoclinic snaking as the system shifts from pattern-uniform to uniform-uniform bistability. Additionally, we explore the oscillatory dynamics exhibited by these states when varying the time-scale separation and diffusion coefficient. Our study leverages a combination of analytical and numerical techniques to uncover the stability and dynamic regimes of spatially localized structures, offering new insights into the mechanisms governing spatial localization in this widely used model system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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