SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species

标题
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species
作者
关键词
Sleep, Electroencephalography, Hidden Markov models, Electromyography, Signal filtering, Neural networks, Animal performance, Preprocessing
出版物
PLoS Computational Biology
Volume 15, Issue 4, Pages e1006968
出版商
Public Library of Science (PLoS)
发表日期
2019-04-19
DOI
10.1371/journal.pcbi.1006968

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