Advanced models of neural networks. nonlinear dynamics and stochasticity in biological neurons.

Rigatos, Gerasimos G.

ISBN 10: 3662437635 / ISBN 13: 9783662437636

Published by Heidelberg/New York, NY/Dordrecht/London/Berlin, Springer., 2015

About this Item

24 cm. XXIII, 275 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Seller Inventory # 7051JB

Bibliographic Details

Title: Advanced models of neural networks. ...

Publisher: Heidelberg/New York, NY/Dordrecht/London/Berlin, Springer.

Publication Date: 2015

Binding: Hardcover

About this title

Synopsis:

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.

About the Author:

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.