Noisy network attractor models for transitions between EEG microstates

Noisy network attractor models for transitions between EEG microstates

Abstract The brain is intrinsically organized into large-scale networks that constantly re-organize on multiple timescales, even when the brain is at rest. The timing of these dynamics is crucial for sensation, perception, cognition, and ultimately consciousness, but the underlying dynamics governin...

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Bibliographic Details
Main Authors: Jennifer Creaser, Peter Ashwin, Claire Postlethwaite, Juliane Britz
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:Journal of Mathematical Neuroscience
Subjects:
EEG microstates
Excitable network model
Residence times
Transition process
Noisy network attractor
Long range temporal correlations
Online Access:https://doi.org/10.1186/s13408-020-00100-0

Internet

https://doi.org/10.1186/s13408-020-00100-0

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