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

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.

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Detail Information
Series Title
-
Call Number
006.3 RIG a
Publisher
: Springer.,
Collation
XXIII, 275
Language
English
ISBN/ISSN
978-3-662-43764-3
Classification
006.3
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
Ed. 1
Subject(s)
Artificial Intelligence
Computational Intelligence
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
umi
Source
https://link.springer.com/content/pdf/10.1007/978-3-662-43764-3.pdf?pdf=button
Validator
-
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