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首页> 外文期刊>International journal of non-linear mechanics >Chaotic Burst Synchronization In Heterogeneous Small-world Neuronal Network With Noise
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Chaotic Burst Synchronization In Heterogeneous Small-world Neuronal Network With Noise

机译:带有噪声的异构小世界神经元网络中的混沌突发同步

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摘要

Chaotic bursting is a fundamental behavior of neurons. In this paper, global and local burst synchronization is studied in a heterogeneous small-world neuronal network of non-identical Hindmarsh-Rose (HR) neurons with noise. It is found that the network can achieve global burst synchronization much more easily than phase synchronization and nearly complete synchronization. Moreover, local burst synchronized clusters have already formed before global burst synchronization happens. We study the effect of the shortcut-adding probability and the heterogeneity coefficient on local and global burst synchronization of the network and find that the introduction of shortcuts facilitates burst synchronization while the heterogeneity has little effect. Moreover, we study the spatiotemporal pattern of the network and find that there is an optimal coupling strength range in which the periodicity of the network is very apparent.
机译:混沌爆发是神经元的基本行为。在本文中,在具有噪声的不同Hindmarsh-Rose(HR)神经元的异构小世界神经元网络中研究了全局和局部突发同步。发现与相位同步和几乎完全同步相比,网络可以更轻松地实现全局突发同步。而且,局部突发同步集群已经在全局突发同步发生之前形成。我们研究了捷径添加概率和异质性系数对网络局部和全局突发同步的影响,发现引入捷径有助于突发同步,而异质性影响很小。此外,我们研究了网络的时空模式,发现存在一个最佳耦合强度范围,其中网络的周期性非常明显。

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