Effects of degree distribution in mutual synchronization of neural networks

Details Effects of degree distribution in mutual synchronization of neural networks Effects of degree distribution in mutual synchronization of neural networks

2007-01-08

arxiv.org/abs/cond-mat/0701138v1

Physical Review E 74, 041915 (2006)

Physics

Condensed Matter

Disordered Systems and Neural Networks

5 pages, 4 figures

Scientific paper

10.1103/PhysRevE.74.041915

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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