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Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a nonlinear model of neuronal dynamics
2003
Neurocomputing
We study dynamical synchronization in a model of a neural system constituted by local networks of densely interconnected excitatory and inhibitory neurons. Neural dynamics are determined by voltage-and ligand-gated ion channels. Coupling between the local networks is introduced via sparse excitatory connectivity. With modulation of this long-range synaptic coupling the system undergoes a transition from independent oscillations to chaotic synchronization. Between these states exists a 'weakly'
doi:10.1016/s0925-2312(02)00740-3
fatcat:lmsoxgcxqjah7ll4wpyk7fq4de