Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks

Here, we describe a system capable of tracking specific mouse paw movements at high frame rates (70.17 Hz) with a high level of accuracy (mean = 0.95, SD < 0.01). Short-latency markerless tracking of specific body parts opens up the possibility of manipulating motor feedback. We present a softwar...

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Detalles Bibliográficos
Autores principales: Forys, Brandon J., Xiao, Dongsheng, Gupta, Pankaj, Murphy, Timothy H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2020
Materias:
Research Article: Methods/New Tools
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307631/
https://www.ncbi.nlm.nih.gov/pubmed/32409507
http://dx.doi.org/10.1523/ENEURO.0096-20.2020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307631/
https://www.ncbi.nlm.nih.gov/pubmed/32409507
http://dx.doi.org/10.1523/ENEURO.0096-20.2020

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