DocumentCode
2601662
Title
Coupled network synchronization of non-identical Hindmarsh-Rose model
Author
Jia, Qiuju ; Chen, Zengqiang
Author_Institution
Dept. of Autom., Nankai Univ., Tianjin, China
fYear
2011
fDate
26-29 June 2011
Firstpage
246
Lastpage
251
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on
Conference_Location
Shanghai
Type
conf
DOI
10.1109/ICMIC.2011.5973709
Filename
5973709
Link To Document