Coupled network synchronization of non-identical Hindmarsh-Rose model

Abstract

Neuron is the basic unit function of neuron system and information processing. Studying the initiation of action potential and firing patterns is useful to understand the mechanism of neural coding. Recently, the chaotic synchronization of neuron networks has been an urgent problem in neuroscience. Researches have shown that the synchronization of coupled neuron network has a close relationship Parkinson's disease and epilepsy. In this paper, we analyze the non-identical Hindmarsh-Rose neuron model coupled network with identical initial conditions and non-identical parameter set. Studying the role of network connection types and the coupling strength to the synchronization of neuron network may play a significance role to neuroscience and clinical medicine research.