Nonlinear Dynamics in Computational Neuroscience

Author:   Fernando Corinto ,  Alessandro Torcini
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2019
ISBN:  

9783319710471


Pages:   141
Publication Date:   09 July 2018
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Nonlinear Dynamics in Computational Neuroscience


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Overview

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.

Full Product Details

Author:   Fernando Corinto ,  Alessandro Torcini
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2019
Weight:   2.655kg
ISBN:  

9783319710471


ISBN 10:   3319710478
Pages:   141
Publication Date:   09 July 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Next generation neural mass models.- Unraveling brain modularity through its slow oscillations.- Characterization of Neural Signals in Preclinical Studies of Neural Plasticity using Nonlinear Time Series Analysis.- Functional Cliques in Developmentally Correlated Neural Networks.- Chimera states in pulse coupled neural networks: the influence of dilution and noise.- Nanotechnologies for Neurosciences.- Memristor and Memristor Circuit Modelling based on Methods of Nonlinear System Theory.- A memristor-based cell for complexity.

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Author Information

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. 

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