Nonlinear Dynamics in Computational Neuroscience

• Corporate Author: SpringerLink (Online service)
• Other Authors: Corinto, Fernando (Editor, http://id.loc.gov/vocabulary/relators/edt), Torcini, Alessandro (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: PoliTO Springer Series,
• Subjects: Computational intelligence.; Neural networks (Computer science) .; Neurosciences.; Statistical physics.; Computational Intelligence.; Mathematical Models of Cognitive Processes and Neural Networks.; Applications of Nonlinear Dynamics and Chaos Theory.

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...

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.