Published October, 2012
By Henk A.K. Mastebroek, J.E. Vos and H.A. Mastebroek
Publisher: Springer
Series: Mathematical Modelling: Theory and Applications
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Standard artificial neural networks are constructed from 'units' (roughly similar to neurons) that transmit their 'activity' (similar to membrane potentials or to mean firing rates) to other units via 'weight factors' (similar to synaptic coupling efficacies).

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Published December, 2010
By Angela Slavova and A. Slavova
Publisher: Springer
Series: Mathematical Modelling: Theory and Applications
Rating:
Availability: Available

This book deals with one class of locally coupled neural net works, called Cellular Neural Networks (CNNs). Yang [27,28] as a novel class of information processing systems, which posseses some of the key fea tures of neural networks (NNs) and which has important potential applications in such areas as image processing and pattern reco gnition.

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Published December, 2010
By C. Rocsoreanu, Adelina Georgescu, N. Giurgiteanu and A. Georgescu
Publisher: Springer
Series: Mathematical Modelling: Theory and Applications
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Availability: Available

The present monograph analyses the FitzHugh-Nagumo (F-N) model Le. Our work provides a more or less complete theoretical and numerical investigation of the complex phase dynamics and bifurca tions associated with the F-N dynamical system.

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Published December, 2010
By Jianhong Wu and Anatoly Swishchuk
Publisher: Springer
Series: Mathematical Modelling: Theory and Applications
Rating:
Availability: Available

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