Advanced Models of Neural Networks

Nonlinear Dynamics and Stochasticity in Biological Neurons

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Advanced Models of Neural Networks by Gerasimos G. Rigatos, Springer Berlin Heidelberg
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Author: Gerasimos G. Rigatos ISBN: 9783662437643
Publisher: Springer Berlin Heidelberg Publication: August 27, 2014
Imprint: Springer Language: English
Author: Gerasimos G. Rigatos
ISBN: 9783662437643
Publisher: Springer Berlin Heidelberg
Publication: August 27, 2014
Imprint: Springer
Language: English

This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory.

It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory.

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This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory.

It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory.

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