An artificial neural network for automated behavioral state classification in rats

Accurate behavioral state classification is critical for many research applications. Researchers typically rely upon manual identification of behavioral state through visual inspection of electrophysiological signals, but this approach is time intensive and subject to low inter-rater reliability. To...

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Detalles Bibliográficos
Autores principales: Ellen, Jacob G., Dash, Michael B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Animal Behavior
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435206/
https://www.ncbi.nlm.nih.gov/pubmed/34589305
http://dx.doi.org/10.7717/peerj.12127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435206/
https://www.ncbi.nlm.nih.gov/pubmed/34589305
http://dx.doi.org/10.7717/peerj.12127

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