Influence of network connection and synchronisation for Hindmarsh–Rose model. (27th November 2012)

• Record Type: Journal Article
• Authors: Jia, Qiuju; Chen, Zengqiang
• Is Part Of: International journal of system control and information processing. Volume 1:Number 1(2012)
• Page Start: 105
• Page End: 117
• Publication Date: 2012-11-27
• Subjects: symmetry networks -- Hindmarsh–Rose model -- neuron models -- bifurcation -- chaotic synchronisation -- neural networks -- network connection -- modelling -- chaos attractor; System design -- Data processing -- Periodicals; Information technology -- Periodicals; 003.5
• Languages: English
• ISSNs: 1759-9334

Abstract

In recent years, the chaotic synchronisation of neural networks has been an urgent problem. In this paper, a kind of small parameter r unmatched neuron network is considered. At first, the dynamical behaviours of the HR neuron model are analysed by the ISI diagram. A change of parameter r in small range will result in great change in the size of the chaos attractor and so, the significance of parameter r in the dynamic behaviour of neuron can be shown. Meanwhile, we also study the role of network connection types and coupling strength in the synchronisation of neuron network. It may play a significance role to neuroscience and clinical medicine research in the future.