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 the...

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Detalles Bibliográficos
Autor principal: Rigatos, Gerasimos G
Lenguaje:eng
Publicado: Springer 2015
Materias:
Engineering
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-43764-3
http://cds.cern.ch/record/1968723
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author Rigatos, Gerasimos G
author_facet Rigatos, Gerasimos G
author_sort Rigatos, Gerasimos G
collection CERN
description 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.
id cern-1968723
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Springer
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spelling cern-19687232021-04-21T20:50:02Zdoi:10.1007/978-3-662-43764-3http://cds.cern.ch/record/1968723engRigatos, Gerasimos GAdvanced models of neural networks: nonlinear dynamics and stochasticity in biological neuronsEngineeringThis 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.Springeroai:cds.cern.ch:19687232015
spellingShingle Engineering
Rigatos, Gerasimos G
Advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
title Advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
title_full Advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
title_fullStr Advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
title_full_unstemmed Advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
title_short Advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
title_sort advanced models of neural networks: nonlinear dynamics and stochasticity in biological neurons
topic Engineering
url https://dx.doi.org/10.1007/978-3-662-43764-3
http://cds.cern.ch/record/1968723
work_keys_str_mv AT rigatosgerasimosg advancedmodelsofneuralnetworksnonlineardynamicsandstochasticityinbiologicalneurons

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