๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

340 Nonlinear dynamics modeling of neuronal systems comprising the generation of VEP

โœ Scribed by R.S. Campusanol; M.C. Toledo; J.R. Naranjo; A. Montoya

Book ID
117363217
Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
125 KB
Volume
30
Category
Article
ISSN
0167-8760

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

A dynamical system for the approximate m
A dynamical system for the approximate moments of nonlinear stochastic models of spiking neurons and networks
โœ R. Rodriguez; H.C. Tuckwell ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 460 KB

we consider multidimensional systems of coupled nonlinear stochastic differential equations suitable for the study of the dynamics of collections of interacting noisy spiking neurons. Assumptions based on the smallness of third and higher central order moments of membrane potentials and recovery var

Nonlinear Galerkin methods for the model
Nonlinear Galerkin methods for the model reduction of nonlinear dynamical systems
โœ Hermann G Matthies; Marcus Meyer ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 202 KB

Numerical simulations of large nonlinear dynamical systems, especially over long-time intervals, may be computationally very expensive. Model reduction methods have been used in this context for a long time, usually projecting the dynamical system onto a sub-space of its phase space. Nonlinear Galer

Models of the predictability of a simple
Models of the predictability of a simple nonlinear dynamical system
โœ Manuel Pulido ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 775 KB

## Abstract Chaotic nonlinear low order systems are often regarded as paradigms of the atmospheric behaviour, not least because of their limited predictability. In this paper, the predictability of a forced nonlinear system proposed by Lorenz is examined. The system is a compelling heuristic model