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Pattern Synchronization in a Two-Layer Neuronal Network |
| SUN Xiao-Juan, LU Qi-Shao |
| Division of General Mechanics, Beihang University, Beijing 100191 |
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| Cite this article: |
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SUN Xiao-Juan, LU Qi-Shao 2009 Chin. Phys. Lett. 26 060507 |
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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 disordered
patterns, 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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Received: 17 February 2009
Published: 01 June 2009
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| PACS: |
05.45.-a
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(Nonlinear dynamics and chaos)
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05.45.Xt
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(Synchronization; coupled oscillators)
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