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Parameter-dependent synchronization transition of coupled neurons with co-existing spiking and bursting
Authors:Hua-Guang Gu  Yu-Ye Li  Bing Jia  Guan-Rong Chen
Affiliation:1. School of Aerospace Engineering and Applied Mechanic, Tongji University, Shanghai 200092, China;2. City University of Hong Kong, Hong Kong Special Administrative Region, China
Abstract:A firing pattern transition is simulated in the Leech neuron model, firstly from bursting to co-existence of spiking and bursting and then to spiking. The attraction domain of spiking and bursting for three different parameter values are calculated. Synchronization transition processes of two coupled Leech neurons, one is bursting and the other the co-existing spiking, are simulated for the three parameters. The three synchronization processes appear similar as the coupling strength increases, beginning from non-synchronization to complete synchronization through a complex dynamical procedure, but their detailed processes are different depending on the parameter values. The transition procedure is complex and the complete synchronization is in bursting for larger parameter values, while the process is simple with complete synchronization of spiking for smaller values. The potential relationship between complete synchronization and the attraction domain is also discussed. The results are instructive to understanding the synchronization behaviors of the coupled neuronal system with co-existing attractors.
Keywords:Synchronization transition   Co-existing attractors   Coupled neurons   Spiking   Bursting
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