Fr. 135.00

Nonlinear Dynamics in Computational Neuroscience

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

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.

Sommario

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.

Info autore










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. 

Dettagli sul prodotto

Con la collaborazione di Fernand Corinto (Editore), Fernando Corinto (Editore), Torcini (Editore), Torcini (Editore), Alessandro Torcini (Editore)
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.01.2019
 
EAN 9783030100094
ISBN 978-3-0-3010009-4
Pagine 141
Dimensioni 155 mm x 9 mm x 234 mm
Peso 300 g
Illustrazioni XI, 141 p. 50 illus., 34 illus. in color.
Serie PoliTO Springer Series
Categorie Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie

B, Neurowissenschaften, Optische Physik, Neuroscience, Mathematische Modellierung, engineering, Neurosciences, Nonlinear science, Computational Intelligence, Mathematical modelling, Neural networks (Computer science), Dynamics & statics, Applications of Nonlinear Dynamics and Chaos Theory, Statistical physics, Nonlinear Optics

Recensioni dei clienti

Per questo articolo non c'è ancora nessuna recensione. Scrivi la prima recensione e aiuta gli altri utenti a scegliere.

Scrivi una recensione

Top o flop? Scrivi la tua recensione.

Per i messaggi a CeDe.ch si prega di utilizzare il modulo di contatto.

I campi contrassegnati da * sono obbligatori.

Inviando questo modulo si accetta la nostra dichiarazione protezione dati.