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Metastable Geometric Phase Structure in Human EEG: Riemannian Manifold Analysis of Covariance Dynamics During Sustained Attention

Fuente: Zenodo

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Autore principale:	Rodriguez, Rod
Natura:	Recurso digital
Pubblicazione:	Zenodo 2026
Soggetti:	metastability Riemannian geometry EEG covariance matrices symmetric positive-definite manifold sustained attention brain states manifold speed effective rank Kramers escape theory phase transitions psychomotor vigilance task geometric deep learning transformer neural networks brain-computer interface Cognitive Neuroscience Cognitive neuroscience Cognitive Neuroscience/instrumentation Cognitive Neuroscience/methods Computational Neuroscience Signal Processing Differential Geometry Brain-Computer Interfaces Dynamical systems Dynamical Systems Geometric Contrast Imaging
Accesso online:	Acceder al recurso
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