Effects of degree distribution in mutual synchronization of neural networks
Disordered Systems and Neural Networks
2007-05-23 v1
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.
Keywords
Cite
@article{arxiv.cond-mat/0701138,
title = {Effects of degree distribution in mutual synchronization of neural networks},
author = {Sheng-Jun Wang and Xin-Jian Xu and Zhi-Xi Wu and Ying-Hai Wang},
journal= {arXiv preprint arXiv:cond-mat/0701138},
year = {2007}
}
Comments
5 pages, 4 figures