论文标题
多样性引起的破坏
Diversity-induced decoherence
论文作者
论文摘要
我们分析了具有强烈时间尺度分离的耦合振荡器网络中小振幅噪声和异质性的影响。使用平均场分析，我们发现了一种新的非平凡效应 - 多样性诱导的逆转（DIDC）的机制，其中异质性调节了自我诱导的随机共振的机制，以抑制振荡的连贯性。我们认为，DIDC可能会提供一种可能的机制，在可激发的神经系统中，通用异质性和背景噪声可以协同阻止可能与过度运动障碍有关的不良共振。
We analyze the effect of small-amplitude noise and heterogeneity in a network of coupled excitable oscillators with strong time scale separation. Using mean-field analysis, we uncover the mechanism of a new nontrivial effect -- diversity-induced decoherence (DIDC) -- in which heterogeneity modulates the mechanism of self-induced stochastic resonance to inhibit the coherence of oscillations. We argue that DIDC may offer one possible mechanism via which, in excitable neural systems, generic heterogeneity and background noise can synergistically prevent unwanted resonances that may be related to hyperkinetic movement disorders.
