Nonlinear Dynamics in Computational Neuroscience

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Corinto, Fernando (Editor), Torcini, Alessandro (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:PoliTO Springer Series,
Subjects:
Computational intelligence.
Neural networks (Computer science) .
Neurosciences.
Nonlinear Optics.
Computational Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Neuroscience.
Online Access:Full-text access
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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