Abstract
Synchronization behavior is discussed in a clustered neuronal network, in which Rulkov maps with additive noise are applied as building blocks. Additive noise applied here is used to make the Rulkov map generate spiking activities. It is revealed that clustered structure of networks in noisy environments is able to make the subnetwork more synchronous but suppress the synchrony of the entire network meanwhile. The effects of the cluster number, the coupling strength and the noise intensity on spatiotemporal synchronization in the network are discussed. The obtained results are helpful for understanding the clustered structure in cortical systems of the brain from a new viewpoint of synchronization.
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Sun, X.J., Lu, Q.S. (2011). Synchronization Behavior of a Clustered Neuronal Network in a Noisy Environment. In: Zhu, W.Q., Lin, Y.K., Cai, G.Q. (eds) IUTAM Symposium on Nonlinear Stochastic Dynamics and Control. IUTAM Bookseries, vol 29. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0732-0_21
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DOI: https://doi.org/10.1007/978-94-007-0732-0_21
Publisher Name: Springer, Dordrecht
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