Advanced Models of Neural Networks
Nonlinear Dynamics and Stochasticity in Biological Neurons
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Beschreibung
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.
Suitable for researchers engaged with neural networks and dynamical systems theory
Introduces advanced models of neural networks
Includes several chapters suitable for related postgraduate courses in engineering, computer science, mathematics, physics and biology
Suitable for researchers engaged with neural networks and dynamical systems theory Introduces advanced models of neural networks Includes several chapters suitable for related postgraduate courses in engineering, computer science, mathematics, physics and biology
Autor*in
Gerasimos G. Rigatos
Themen in »Advanced Models of Neural Networks«
Dynamical systems theory Neural networks Nonlinear dynamical systems