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Assessment of a non-invasive high-throughput classifier for behaviours associated with sleep and wake in mice
This work presents a non-invasive high-throughput system for automatically detecting characteristic behaviours in mice over extended periods of time, useful for phenotyping experiments. The system classifies time intervals on the order of 2 to 4 seconds as corresponding to motions consistent with ei...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2365952/ https://www.ncbi.nlm.nih.gov/pubmed/18405376 http://dx.doi.org/10.1186/1475-925X-7-14 |