MC-SleepNet: Large-scale Sleep Stage Scoring in Mice by Deep Neural Networks
Abstract Automated sleep stage scoring for mice is in high demand for sleep research, since manual scoring requires considerable human expertise and efforts. The existing automated scoring methods do not provide the scoring accuracy required for practical use. In addition, the performance of such me...
Guardado en:
Autores principales: | Masato Yamabe, Kazumasa Horie, Hiroaki Shiokawa, Hiromasa Funato, Masashi Yanagisawa, Hiroyuki Kitagawa |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6e22097d86a6490ba0fd90528be0d541 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
U-Sleep: resilient high-frequency sleep staging
por: Mathias Perslev, et al.
Publicado: (2021) -
Metabolic flexibility during sleep
por: Simeng Zhang, et al.
Publicado: (2021) -
Octacosanol restores stress-affected sleep in mice by alleviating stress
por: Mahesh K. Kaushik, et al.
Publicado: (2017) -
Late stage infection in sleeping sickness.
por: Hartwig Wolburg, et al.
Publicado: (2012) -
Association of short sleep duration and trabecular bone score
por: Yi-Chih Shiao, et al.
Publicado: (2021)