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Dynamic behaviour and significance of neuron networks with varying degrees of random coupling

Babu, Bijilash and Condon, Marissa (2007) Dynamic behaviour and significance of neuron networks with varying degrees of random coupling. In: WCE 2007 - World Congress on Engineering, 2-4 July 2007, London, UK.

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Networks of coupled dynamical systems exhibit many interesting behaviours such as spatio-temporal chaos, pattern formation and synchronization. Such networks can be used to model a large variety of biological and physical systems. This contribution will focus on the 2-dimensional nonlinear map that describes the behaviour of individual neurons. The aim is to understand the coupling behaviour of this particular map and the dynamics of such coupled neuron systems. Various coupling schemes such as nearest neighbor coupling, random couplings and small-world networkings are numerically investigated. In particular, the paper will examine the transition of asynchronously firing neurons to a synchronous state. This is important in that it has similarities to the perceived behaviour of neurons in individuals during epileptic seizures.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Subjects:Engineering > Electronic engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Publisher:International Association of Engineers (IAENG)
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 05/IN.1/I18
ID Code:2444
Deposited On:03 Mar 2009 14:18 by DORAS Administrator. Last Modified 24 May 2010 11:27

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