| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8254287 | Chaos, Solitons & Fractals | 2017 | 8 Pages |
Abstract
Based on an improved neuron model with electromagnetic induction, the collective responses of chain neuronal network are detected. Besides the gap junction coupling between adjacent neurons, magnetic flux coupling is used to describe the effect of field coupling among all neurons. A statistical factor of synchronization is calculated to find the pattern stability dependence on the coupling intensity of junction coupling and field coupling. Bifurcation analysis and wave propagation are presented. It is found that signal propagation can be suppressed by field coupling on the network driven by external stimulus with diversity. Otherwise, network synchronization can be enhanced when external current stimulus are imposed on neurons of the network uniformly.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Guo Shengli, Xu Ying, Wang Chunni, Jin Wuyin, Aatef Hobiny, Ma Jun,