Pattern Synchronization in a Two-Layer Neuronal Network |
| |
| Authors: | SUN Xiao-Juan LU Qi-Shao |
| |
| Affiliation: | Division of General Mechanics, Beihang University, Beijing 100191 |
| |
| Abstract: | Pattern synchronization in a two-layer neuronal network is studied. For a single-layer network of Rulkov map neurons, there are three kinds of patterns induced by noise. Additive noise can induce ordered patterns at some intermediate noise intensities in a resonant way; however, for small and large noise intensities there exist excitable patterns and disorderedpatterns, respectively. For a neuronal network coupled by two single-layer networks with noise intensity differences between layers, we find that the two-layer network can achieve synchrony as the interlayer coupling strength increases. The synchronous states strongly depend on the interlayer coupling strength and the noise intensity difference between layers. |
| |
| Keywords: | 05 45 -a 05 45 Xt |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《中国物理快报》浏览原始摘要信息 |
|
点击此处可从《中国物理快报》下载免费的PDF全文 |
|
