神经网络中连接拓扑对同步的作用

2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) Pub Date : 2022-09-14 DOI:10.1109/DCNA56428.2022.9923133

M. Mishchenko, Natalia S. Kovaleva, D. Bolshakov, V. Matrosov

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引用次数: 0

摘要

复杂网络描述了自然界和社会中广泛的系统。每一个复杂网络都具有一定的拓扑特征，这些特征对网络的动态特性有很大的影响。研究了具有不同耦合拓扑结构的可激元复杂网络的动力学问题。观察了网络拓扑结构、噪声水平和耦合强度对产生的动态模态的影响。研究了集线器移除对网络动力学的影响。

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The role of connections topology on synchronization in neural network

Complex networks describe a wide range of systems in nature and society. Every complex network has certain topological features which strongly influence the dynamics. We studied the dynamics of a complex network of excitable elements with different coupling topologies. The role of network topology, noise level and coupling strength on the resulting dynamical modes has been observed. The effect of hub removal on network dynamics has been studied.

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2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA)

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