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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...

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Detalhes bibliográficos
Main Authors: Donohue, Kevin D, Medonza, Dharshan C, Crane, Eli R, O'Hara, Bruce F
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2008
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2365952/
https://ncbi.nlm.nih.gov/pubmed/18405376
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1475-925X-7-14
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