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PoliTO Springer Series

Nonlinear Dynamics in Computational Neuroscience

Editors: Corinto, Fernando, Torcini, Alessandro (Eds.)

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  • Offers an essential reference guide for neuroscientists using computational methods in their daily work, as well as any theoretical scientists just getting started in the field of computational neuroscience
  • Provides state-of-the-art information on technologies and algorithms for brain circuits and systems 
  • Written by leading experts in the field
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-71048-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-71047-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-3-030-10009-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015.

About the authors

Fernando Corinto is professor of Circuit Theory at Politecnico di Torino, Italy. His research activity focuses mainly on nonlinear circuits and systems, locally coupled nonlinear/nanoscale networks and memristor nanotechnology.
Alessandro Torcini is professor of Theoretical Physics at University of Cergy-Pontoise, France. His research activity focuses on the dynamics of complex and bio-inspired systems, in particular computational neuroscience. 

Table of contents (8 chapters)

Table of contents (8 chapters)
  • Next Generation Neural Mass Models

    Pages 1-16

    Coombes, Stephen (et al.)

  • Unraveling Brain Modularity Through Slow Oscillations

    Pages 17-31

    Mattia, Maurizio (et al.)

  • Characterization of Neural Signals in Preclinical Studies of Neural Plasticity Using Nonlinear Time Series Analysis

    Pages 33-52

    Vallone, Fabio (et al.)

  • Functional Cliques in Developmentally Correlated Neural Networks

    Pages 53-64

    Luccioli, Stefano (et al.)

  • Chimera States in Pulse Coupled Neural Networks: The Influence of Dilution and Noise

    Pages 65-79

    Olmi, Simona (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-71048-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-71047-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-3-030-10009-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Nonlinear Dynamics in Computational Neuroscience
Editors
  • Fernando Corinto
  • Alessandro Torcini
Series Title
PoliTO Springer Series
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-71048-8
DOI
10.1007/978-3-319-71048-8
Hardcover ISBN
978-3-319-71047-1
Softcover ISBN
978-3-030-10009-4
Series ISSN
2509-6796
Edition Number
1
Number of Pages
XI, 141
Number of Illustrations
16 b/w illustrations, 34 illustrations in colour
Topics