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由非局部空间记忆与非局部感知引起的分支。

Bifurcations induced by nonlocal spatial memory versus nonlocal perception.

作者信息

Wang Yujia, Song Yongli, Wang Hao

机构信息

School of Mathematics, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.

School of Mathematics and Statistics, Central South University, Changsha, Hunan, 410093, China.

出版信息

J Math Biol. 2025 May 27;91(1):3. doi: 10.1007/s00285-025-02234-9.

Abstract

Spatial memory and perception are two key mechanisms driving animal movement's decisions. In this paper, we formulate a reaction-diffusion model incorporating nonlocal spatial memory and nonlocal perception with both kernels characterized by a top-hat function. To understand the impact of species' memory and instantaneous perception on their movement, we investigate how memory-induced diffusion coefficient, perceptual strength, memory delay, and perceptual scale affect the stability and spatiotemporal dynamics of positive steady states. For spatial memory versus perception, we sketch bifurcation curves in the planes of memory delay and perception scale. When memory and perception are weak, the positive constant steady state remains locally asymptotically stable, indicating minimal impact on stability. A larger perception scale preserves stability, whereas a smaller one can induce instability through bifurcations. Specifically, when both the memory-induced diffusion coefficient and perceptual strength are large and share the same sign (or differ in sign), the system undergoes Turing bifurcation to produce spatially nonhomogeneous steady states (or spatially nonhomogeneous periodic solutions via Hopf bifurcation with increased memory delay). When one of these two parameters is large and the other is small, the stability boundary of the positive constant steady state may be governed by Turing bifurcation or a combination of Turing and Hopf bifurcations, potentially leading to higher codimension bifurcations such as Turing-Hopf and Hopf-Hopf bifurcations.

摘要

空间记忆和感知是驱动动物运动决策的两个关键机制。在本文中,我们构建了一个反应扩散模型,该模型纳入了非局部空间记忆和非局部感知,两者的核均由帽状函数表征。为了理解物种的记忆和瞬时感知对其运动的影响,我们研究了记忆诱导扩散系数、感知强度、记忆延迟和感知尺度如何影响正稳态的稳定性和时空动力学。对于空间记忆与感知,我们绘制了记忆延迟和感知尺度平面上的分岔曲线。当记忆和感知较弱时,正的常数稳态保持局部渐近稳定,表明对稳定性的影响最小。较大的感知尺度保持稳定性,而较小的感知尺度可能通过分岔导致不稳定。具体而言,当记忆诱导扩散系数和感知强度都很大且符号相同(或符号不同)时,系统会经历图灵分岔以产生空间非均匀稳态(或随着记忆延迟增加通过霍普夫分岔产生空间非均匀周期解)。当这两个参数中的一个大而另一个小时,正的常数稳态的稳定性边界可能由图灵分岔或图灵和霍普夫分岔的组合决定,这可能导致更高余维的分岔,如图灵 - 霍普夫分岔和霍普夫 - 霍普夫分岔。

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