Effects of degree distribution in mutual synchronization of neural networks

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dc.creatorWang, Sheng-Jun
dc.creatorXu, Xin-Jian
dc.creatorWu, Zhi-Xi
dc.creatorWang, Ying-Hai
dc.date2007-01-08
dc.date.accessioned2026-07-07T07:39:01Z
dc.date.available2026-07-07T07:39:01Z
dc.descriptionWe 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.
dc.description5 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0701138
dc.identifierhttp://arxiv.org/abs/cond-mat/0701138
dc.identifierPhysical Review E 74, 041915 (2006)
dc.identifierdoi:10.1103/PhysRevE.74.041915
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/121303
dc.subjectDisordered Systems and Neural Networks
dc.titleEffects of degree distribution in mutual synchronization of neural networks
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