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On the strength of attractors in a high-dimensional system: Milnor attractor network, robust global attraction, and noise-induced selection

机译:关于高维系统吸引子的优势:Milnor吸引器网络,强大的全局吸引力和噪声诱发的选择

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Strength of attractor is studied by the return rate to itself after perturbations, for a multi attractor state of a globally coupled map. It is found that fragile (Milnor) attractors have a large basin volume at the partially ordered phase. Such dominance of fragile attractors is understood by robustness of global, attraction in the phase space. Change of the attractor strength and basin volume against the parameter and size are studied. In the partially ordered phase, the dynamics is often described as Milnor attractor network, which leads to a new interpretation of chaotic itinerancy. Noise-induced selection of fragile attractors is found that has a sharp dependence on the noise amplitude. Relevance of the observed results to neural dynamics and cell differentiation is also discussed. (C) 1998 Elsevier Science B.V. [References: 38]
机译:对于全局耦合图的多吸引子状态,通过扰动后自身的返回率来研究吸引子的强度。发现脆弱的(米尔诺)吸引子在部分有序阶段具有较大的盆地体积。整体吸引在相空间中的鲁棒性可以理解脆弱吸引子的这种优势。研究了吸力强度和盆体积随参数和尺寸的变化。在部分有序阶段,动力学通常被描述为Milnor吸引网络,这导致了混沌迭代的新解释。发现噪声引起的对脆弱吸引子的选择对噪声幅度具有明显的依赖性。还讨论了观察到的结果与神经动力学和细胞分化的相关性。 (C)1998 Elsevier Science B.V. [参考:38]

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