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网络拓扑、传输延迟和不应期对耦合可兴奋系统对随机刺激的反应的影响。

Effects of network topology, transmission delays, and refractoriness on the response of coupled excitable systems to a stochastic stimulus.

机构信息

Department of Applied Mathematics, University of Colorado, Boulder, Colorado 80309, USA.

出版信息

Chaos. 2011 Jun;21(2):025117. doi: 10.1063/1.3600760.

Abstract

We study the effects of network topology on the response of networks of coupled discrete excitable systems to an external stochastic stimulus. We extend recent results that characterize the response in terms of spectral properties of the adjacency matrix by allowing distributions in the transmission delays and in the number of refractory states and by developing a nonperturbative approximation to the steady state network response. We confirm our theoretical results with numerical simulations. We find that the steady state response amplitude is inversely proportional to the duration of refractoriness, which reduces the maximum attainable dynamic range. We also find that transmission delays alter the time required to reach steady state. Importantly, neither delays nor refractoriness impact the general prediction that criticality and maximum dynamic range occur when the largest eigenvalue of the adjacency matrix is unity.

摘要

我们研究了网络拓扑结构对耦合离散激发系统网络对外界随机刺激的响应的影响。我们通过允许在传输延迟和可恢复状态的数量上存在分布,并通过开发对稳态网络响应的非微扰逼近,扩展了最近用邻接矩阵的谱性质来描述响应的结果。我们用数值模拟证实了我们的理论结果。我们发现,稳态响应幅度与可恢复状态的持续时间成反比,这降低了最大可达到的动态范围。我们还发现,传输延迟会改变达到稳态所需的时间。重要的是,无论是延迟还是可恢复性都不会影响这样一个一般的预测,即当邻接矩阵的最大特征值为 1 时,临界点和最大动态范围就会出现。

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