Advanced Models of Neural Networks
Nonlinear Dynamics and Stochasticity in Biological Neurons
Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
| 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.
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.
