Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
974964 | Physica A: Statistical Mechanics and its Applications | 2008 | 10 Pages |
Abstract
The spatiotemporal patterns and chaotic burst synchronization of a small-world neuronal network are studied in this paper. The synchronization parameter, similarity parameter and order parameter are introduced to investigate the dynamics behaviour of the neurons. Chaotic burst synchronization and nearly complete synchronization can be observed if the link probability and the coupling strength are large enough. It is found that with increasing link probability and the coupling strength chaotic bursts become appreciably synchronous in space and coherent in time, and the maximal spatiotemporal order appears at some particular values of the probability and the coupling strength, respectively. The larger the size of the network, the smaller the probability and the coupling strength are needed for the network to achieve burst synchronization. Moreover, the bursting activity and the spatiotemporal patterns are robust to small noise.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Yan Hong Zheng, Qi Shao Lu,