Effects of degree distribution in mutual synchronization of neural networks

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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.
5 pages, 4 figures

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Disordered Systems and Neural Networks

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http://salesiana.dossiersoluciones.com/handle/123456789/121303

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/0701138
 http://arxiv.org/abs/cond-mat/0701138
 Physical Review E 74, 041915 (2006)
 doi:10.1103/PhysRevE.74.041915

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arXiv