A Deep Learning Approach for Automated Sleep-Wake Scoring in Pre-Clinical Animal Models

•Manual scoring of sleep-wake states from EEG and other recordings in animals is time consuming.•We developed two machine learning algorithms for automated sleep-wake scoring in different species.•A Convolutional Neural Network algorithm performed best for scoring sleep-wake states in non-human prim...

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Veröffentlicht in:	Journal of neuroscience methods 2020-05, Vol.337, p.108668-108668, Article 108668
Hauptverfasser:	Svetnik, Vladimir, Wang, Ting-Chuan, Xu, Yuting, Hansen, Bryan J., V. Fox, Steven
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional Neural Network leep-wake scoring Machine Learning Random Forest
Online-Zugang:	Volltext
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