Physical Review E, ( ISI ), Volume (85), No (85), Year (2012-2) , Pages (21908-21912)

Title : ( Nonlinear-dynamics theory of up-down transitions in neocortical neural networks )

Authors: Maryam Ghorbani , Mayank Mehta , Robijn Bruinsma , Alex Levine ,

Access to full-text not allowed by authors

Citation: BibTeX | EndNote

The neurons of the neocortex show ∼1-Hz synchronized transitions between an active up state and a quiescent down state. The up-down state transitions are highly coherent over large sections of the cortex, yet they are accompanied by pronounced, incoherent noise. We propose a simple model for the up-down state oscillations that allows analysis by straightforward dynamical systems theory. An essential feature is a nonuniform network geometry composed of groups of excitatory and inhibitory neurons with strong coupling inside a group and weak coupling between groups. The enhanced deterministic noise of the up state appears as the natural result of the proximity of a partial synchronization transition. The synchronization transition takes place as a function of the long-range synaptic strength linking different groups of neurons.

Keywords

slow wave
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1039152,
author = {Ghorbani, Maryam and Mayank Mehta and Robijn Bruinsma and Alex Levine},
title = {Nonlinear-dynamics theory of up-down transitions in neocortical neural networks},
journal = {Physical Review E},
year = {2012},
volume = {85},
number = {85},
month = {February},
issn = {2470-0045},
pages = {21908--21912},
numpages = {4},
keywords = {slow wave sleep},
}

[Download]

%0 Journal Article
%T Nonlinear-dynamics theory of up-down transitions in neocortical neural networks
%A Ghorbani, Maryam
%A Mayank Mehta
%A Robijn Bruinsma
%A Alex Levine
%J Physical Review E
%@ 2470-0045
%D 2012

[Download]