Pattern Synchronization in a Two-Layer Neuronal Network |
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Authors: | SUN Xiao-Juan LU Qi-Shao |
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Affiliation: | Division of General Mechanics, Beihang University, Beijing 100191 |
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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. |
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Keywords: | 05.45.-a 05.45.Xt |
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