Effects of degree distribution in mutual synchronization of neural networks.
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.
Wang
Sheng-Jun
SJ
Institute of Theoretical Physics, Lanzhou University, Lanzhou Gansu 730000, China.
Xu
Xin-Jian
XJ
Wu
Zhi-Xi
ZX
Wang
Ying-Hai
YH
D000200:Action Potentials / Q000502:physiology*; D003198:Computer Simulation; D016015:Logistic Models; D008959:Models, Neurological; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D013223:Statistics as Topic; D009435:Synaptic Transmission / Q000502:physiology*