Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions.

Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions.

Electrophysiological recordings from freely behaving animals are a widespread and powerful mode of investigation in sleep research. These recordings generate large amounts of data that require sleep stage annotation (polysomnography), in which the data is parcellated according to three vigilance sta...

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Bibliographic Details
Main Authors: Paul J N Brodersen, Hannah Alfonsa, Lukas B Krone, Cristina Blanco-Duque, Angus S Fisk, Sarah J Flaherty, Mathilde C C Guillaumin, Yi-Ge Huang, Martin C Kahn, Laura E McKillop, Linus Milinski, Lewis Taylor, Christopher W Thomas, Tomoko Yamagata, Russell G Foster, Vladyslav V Vyazovskiy, Colin J Akerman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011793&type=printable

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https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011793&type=printable

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