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通过扩散环境间接耦合的空间分布振荡器阵列中时空模式的选择。

Selection of spatiotemporal patterns in arrays of spatially distributed oscillators indirectly coupled via a diffusive environment.

作者信息

Cao Xiao-Zhi, He Yuan, Li Bing-Wei

机构信息

Department of Physics, Hangzhou Normal University, Hangzhou 311121, People's Republic of China.

出版信息

Chaos. 2019 Apr;29(4):043104. doi: 10.1063/1.5058741.

Abstract

Emergence of self-organized behaviors in diverse living systems often depends on population density. In these systems, cell-cell communications are usually mediated by the surrounding environment. Collective behaviors (e.g., synchrony and dynamical quorum sensing) of such systems with stirred environment have been extensively studied, but the spatiotemporal dynamics of the oscillators coupled via a diffusive environment (without stirring) is rather understudied. We here perform a computational study on the selection and competition of wave patterns in arrays of spatially distributed oscillators immersed in a diffusive medium. We find that population density plays a crucial role in the selection of wave patterns: (i) for a single spiral in the system, its rotation either inward or outward could be controlled by population density, and (ii) for spiral and target waves coexisting initially in the system, wave competition happens and population density decides which type of wave will finally survive. The latter phenomenon is further confirmed in a system whose individual element is excitable rather than self-sustained oscillatory. The mechanism underlying all these observations is attributed to the frequency competition. Our results in the excitable case may have implications on the experimental results.

摘要

多种生物系统中自组织行为的出现通常取决于种群密度。在这些系统中,细胞间通讯通常由周围环境介导。对于处于搅拌环境下的此类系统的集体行为(例如同步和动态群体感应)已经进行了广泛研究,但对于通过扩散环境(无搅拌)耦合的振荡器的时空动力学研究较少。我们在此对沉浸在扩散介质中的空间分布振荡器阵列中波模式的选择和竞争进行了计算研究。我们发现种群密度在波模式的选择中起着关键作用:(i)对于系统中的单个螺旋波,其向内或向外旋转可由种群密度控制,并且(ii)对于最初在系统中共存的螺旋波和靶波,会发生波竞争,种群密度决定最终哪种类型的波会存活。在单个元素是可兴奋而非自持振荡的系统中进一步证实了后一种现象。所有这些观察结果背后的机制归因于频率竞争。我们在可兴奋情况下的结果可能对实验结果有影响。

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