Synchronization Behavior of a Clustered Neuronal Network in a Noisy Environment

摘要: Synchronization behavior is discussed in a clustered neuronal network, which Rulkov maps with additive noise are applied as building blocks. Additive here used to make the map generate spiking activities. It revealed that structure of networks noisy environments able subnetwork more synchronous but suppress synchrony entire network meanwhile. The effects cluster number, coupling strength and intensity on spatiotemporal synchronization discussed. obtained results helpful for understanding cortical systems brain from new viewpoint synchronization.