Overview
- 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
Part of the book series: PoliTO Springer Series (PTSS)
Buy print copy
Tax calculation will be finalised at checkout
Table of contents (8 chapters)
-
Front Matter
Keywords
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.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Nonlinear Dynamics in Computational Neuroscience
Editors: Fernando Corinto, Alessandro Torcini
Series Title: PoliTO Springer Series
DOI: https://doi.org/10.1007/978-3-319-71048-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-71047-1Published: 09 July 2018
Softcover ISBN: 978-3-030-10009-4Published: 04 February 2019
eBook ISBN: 978-3-319-71048-8Published: 19 June 2018
Series ISSN: 2509-6796
Series E-ISSN: 2509-7024
Edition Number: 1
Number of Pages: XI, 141
Number of Illustrations: 16 b/w illustrations, 34 illustrations in colour
Topics: Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks, Neurosciences, Applications of Nonlinear Dynamics and Chaos Theory