Title :
Coupled network synchronization of non-identical Hindmarsh-Rose model
Author :
Jia, Qiuju ; Chen, Zengqiang
Author_Institution :
Dept. of Autom., Nankai Univ., Tianjin, China
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.
Keywords :
diseases; neurophysiology; synchronisation; Parkinson disease; chaotic synchronization; clinical medicine research; coupled network synchronization; epilepsy; information processing; neural coding; neuron networks; neuron system; neuroscience; non-identical Hindmarsh-Rose model; Analytical models; Bifurcation; Chaos; Computational modeling; Mathematical model; Neurons; Synchronization;
Conference_Titel :
Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICMIC.2011.5973709