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Effects of degree distribution in mutual synchronization of neural networks

Sheng-Jun Wang·Xin-Jian Xu·Zhi-Xi Wu·Ying-Hai Wang
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Abstract

We study the effects of the degree distribution in mutual synchronization of two-layer neural networks. We carry out three coupling strategies: large-large coupling, random coupling, and small-small coupling. By computer simulations and analytical methods, we find that couplings between nodes with large degree play an important role in the synchronization. For large-large coupling, less couplings are needed for inducing synchronization for both random and scale-free networks. For random coupling, cutting couplings between nodes with large degree is very efficient for preventing neural systems from synchronization, especially when subnetworks are scale-free.

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Sheng-Jun Wang, Xin-Jian Xu, Zhi-Xi Wu, Ying-Hai Wang. 2007-01-08. Effects of degree distribution in mutual synchronization of neural networks. https://doi.org/10.1103/physreve.74.041915

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