The Resource Advanced models of neural networks : nonlinear dynamics and stochasticity in biological neurons, Gerasimos G. Rigatos

Advanced models of neural networks : nonlinear dynamics and stochasticity in biological neurons, Gerasimos G. Rigatos

Label
Advanced models of neural networks : nonlinear dynamics and stochasticity in biological neurons
Title
Advanced models of neural networks
Title remainder
nonlinear dynamics and stochasticity in biological neurons
Statement of responsibility
Gerasimos G. Rigatos
Creator
Author
Subject
Genre
Language
eng
Summary
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
Cataloging source
GW5XE
http://library.link/vocab/creatorDate
1971-
http://library.link/vocab/creatorName
Rigatos, Gerasimos G.
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
QA76.87
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • COMPUTERS
  • Neural networks (Computer science)
Label
Advanced models of neural networks : nonlinear dynamics and stochasticity in biological neurons, Gerasimos G. Rigatos
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-662-43764-3
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Modelling Biological Neurons in Terms of Electrical Circuits -- Systems Theory for the Analysis of Biological Neuron Dynamics -- Bifurcations and Limit Cycles in Models of Biological Systems -- Oscillatory Dynamics in Biological Neurons -- Synchronization of Circadian Neurons and Protein Synthesis Control -- Wave Dynamics in the Transmission of Neural Signals -- Stochastic Models of Biological Neuron Dynamics -- Synchronization of Stochastic Neural Oscillators Using Lyapunov Methods -- Synchronization of Chaotic and Stochastic Neurons Using Differential Flatness Theory -- Attractors in Associative Memories with Stochastic Weights -- Spectral Analysis of Neural Models with Stochastic Weights -- Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator -- Quantum Control and Manipulation of Systems and Processes at Molecular Scale -- References -- Index
Dimensions
unknown
Extent
1 online resource (xxiii, 275 pages)
File format
unknown
Form of item
online
Isbn
9783662437643
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-662-43764-3
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)890139881
  • (OCoLC)ocn890139881
Label
Advanced models of neural networks : nonlinear dynamics and stochasticity in biological neurons, Gerasimos G. Rigatos
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-662-43764-3
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Modelling Biological Neurons in Terms of Electrical Circuits -- Systems Theory for the Analysis of Biological Neuron Dynamics -- Bifurcations and Limit Cycles in Models of Biological Systems -- Oscillatory Dynamics in Biological Neurons -- Synchronization of Circadian Neurons and Protein Synthesis Control -- Wave Dynamics in the Transmission of Neural Signals -- Stochastic Models of Biological Neuron Dynamics -- Synchronization of Stochastic Neural Oscillators Using Lyapunov Methods -- Synchronization of Chaotic and Stochastic Neurons Using Differential Flatness Theory -- Attractors in Associative Memories with Stochastic Weights -- Spectral Analysis of Neural Models with Stochastic Weights -- Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator -- Quantum Control and Manipulation of Systems and Processes at Molecular Scale -- References -- Index
Dimensions
unknown
Extent
1 online resource (xxiii, 275 pages)
File format
unknown
Form of item
online
Isbn
9783662437643
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Other control number
10.1007/978-3-662-43764-3
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)890139881
  • (OCoLC)ocn890139881

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