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...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Nature Portfolio
2019
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| Accès en ligne: | https://doaj.org/article/6e22097d86a6490ba0fd90528be0d541 |
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