可激元复杂网络中多重时空模式的自诱导切换

Gerrit Ansmann, K. Lehnertz, U. Feudel
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引用次数: 41

摘要

我们报告了空间扩展可激系统动力学中多个不同时空模式之间的自诱导切换。这些在低振幅振荡、非线性波和极端事件之间的切换非常类似于一个随机过程,尽管该系统是确定的。我们证明了一个混沌鞍——它包含所有的模式以及调解它们之间转换的通道状结构——是这种模式切换动力学的骨干。我们的分析表明,所观察到的现象的基本成分是系统表现得像一个非均匀振荡介质,能够自产生空间局域激励,并且以短程连接为主,但也具有远程连接。根据我们的发现,我们提出了一种替代众所周知的获得自诱导模式切换的方法,即噪声诱导的吸引子跳变、异斜轨道和对外部信号的适应。这种替代方法有望提高我们对空间扩展的自然动力系统(如大脑和心脏)中模式切换的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-induced switchings between multiple space-time patterns on complex networks of excitable units
We report on self-induced switchings between multiple distinct space--time patterns in the dynamics of a spatially extended excitable system. These switchings between low-amplitude oscillations, nonlinear waves, and extreme events strongly resemble a random process, although the system is deterministic. We show that a chaotic saddle -- which contains all the patterns as well as channel-like structures that mediate the transitions between them -- is the backbone of such a pattern switching dynamics. Our analyses indicate that essential ingredients for the observed phenomena are that the system behaves like an inhomogeneous oscillatory medium that is capable of self-generating spatially localized excitations and that is dominated by short-range connections but also features long-range connections. With our findings, we present an alternative to the well-known ways to obtain self-induced pattern switching, namely noise-induced attractor hopping, heteroclinic orbits, and adaptation to an external signal. This alternative way can be expected to improve our understanding of pattern switchings in spatially extended natural dynamical systems like the brain and the heart.
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