Machine learning and deep learning frameworks for the automated analysis of pain and opioid withdrawal behaviors

The automation of behavioral tracking and analysis in preclinical research can serve to advance the rate of research outcomes, increase experimental scalability, and challenge the scientific reproducibility crisis. Recent advances in the efficiency, accuracy, and accessibility of deep learning (DL)...

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Detalles Bibliográficos
Autores principales: Bumgarner, Jacob R., Becker-Krail, Darius D., White, Rhett C., Nelson, Randy J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549170/
https://www.ncbi.nlm.nih.gov/pubmed/36225736
http://dx.doi.org/10.3389/fnins.2022.953182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9549170/
https://www.ncbi.nlm.nih.gov/pubmed/36225736
http://dx.doi.org/10.3389/fnins.2022.953182

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