%0 Journal Article
%T Pattern Synchronization in a Two-Layer Neuronal Network<br>
%A SUN Xiao-Juan
%A LU Qi-Shao
%A <br>
%J 中国物理快报
%D 2009
%I 
%X 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.
%K 05
%K 45
%K -a
%K 05
%K 45
%K Xt<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=E27DA92E19FE279A273627875A70D74D&aid=A1FFF3BF57E42FD361E769B0B160717E&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&journal_id=0256-307X&journal_name=中国物理快报&referenced_num=0&reference_num=0