Corinto F., Torcini A. (Eds.) Nonlinear Dynamics in Computational Neuroscience

Springer, 2019. — 128 p. — (PoliTO Springer Series). — ISBN: 3319710478.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.Next Generation Neural Mass Models
Unraveling Brain Modularity Through 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
Memristor-Based Cell for Complexity