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

Rigatos, Gerasimos G.

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.

Details

Published by: Springer

Publication Date: 2016-08-23

Format: Paperback

ISBN-13: 9783662515570

DOI: 10.1007/978-3-662-43764-3

Dimensions: 235cm x155cm

Pages: 275