Advanced Models of Neural Networks: Nonlinear Dynamics and Stochasticity in Biological Neurons

Rigatos, Gerasimos

ISBN 10: 3662515571 / ISBN 13: 9783662515570

Editore: Springer-Verlag New York Inc, 2016

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reprint edition. 300 pages. 9.25x6.10x0.71 inches. In Stock. Codice articolo x-3662515571

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Titolo: Advanced Models of Neural Networks: ...

Casa editrice: Springer-Verlag New York Inc

Data di pubblicazione: 2016

Legatura: Paperback

Condizione: Brand New

Descrizione articolo

Riassunto:

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.

Informazioni sull?autore:

Dr. Gerasimos Rigatos received his Ph.D. from the Dept. of Electrical and Computer Engineering of the National Technical University of Athens, Greece. He had a postdoctoral position at IRISA, Rennes, France, he was an invited professor at the Université Paris XI (Institut d'Eléctronique Fondamentale) and a lecturer in the Dept. of Engineering of Harper-Adams University College, UK. He is now a researcher in the Unit of Industrial Automation, Industrial Systems Institute, Patras, Greece. His research interests include computational intelligence, adaptive systems, mechatronics, robotics and control, optimization and fault diagnosis.