Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions
Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions
About this item
Full title
Author / Creator
Brodersen, Paul J. N. , Alfonsa, Hannah , Krone, Lukas B. , Blanco-Duque, Cristina , Fisk, Angus S. , Flaherty, Sarah J. , Guillaumin, Mathilde C. C. , Huang, Yi-Ge , Kahn, Martin C. , McKillop, Laura E. , Milinski, Linus , Taylor, Lewis , Thomas, Christopher W. , Yamagata, Tomoko , Foster, Russell G. , Vyazovskiy, Vladyslav V. and Akerman, Colin J.
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
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 states: awake, rapid eye movement (REM) sleep, and no...
Alternative Titles
Full title
Somnotate: A probabilistic sleep stage classifier for studying vigilance state transitions
Authors, Artists and Contributors
Author / Creator
Alfonsa, Hannah
Krone, Lukas B.
Blanco-Duque, Cristina
Fisk, Angus S.
Flaherty, Sarah J.
Guillaumin, Mathilde C. C.
Huang, Yi-Ge
Kahn, Martin C.
McKillop, Laura E.
Milinski, Linus
Taylor, Lewis
Thomas, Christopher W.
Yamagata, Tomoko
Foster, Russell G.
Vyazovskiy, Vladyslav V.
Akerman, Colin J.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_3069178796
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069178796
Other Identifiers
ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1011793
