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...

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Detalles Bibliográficos
Autores principales: Donohue, Kevin D, Medonza, Dharshan C, Crane, Eli R, O'Hara, Bruce F
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
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

Internet

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

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