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...
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: | |
Online Access: | https://doi.org/10.1186/s13408-020-00100-0 |
Similar Items
-
EEG-based classification of epilepsy and PNES: EEG microstate and functional brain network features
by: Negar Ahmadi, et al.
Published: (2020-05-01) -
Evidence for modulation of EEG microstate sequence by vigilance level
by: Marina Krylova, et al.
Published: (2021-01-01) -
The Dynamic EEG Microstates in Mental Rotation
by: Wanzeng Kong, et al.
Published: (2018-09-01) -
EEG microstates as a continuous phenomenon
by: Ashutosh Mishra, et al.
Published: (2020-03-01) -
EEG-microstate dependent emergence of perceptual awareness
by: Juliane eBritz, et al.
Published: (2014-05-01)