Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning

BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wakefulness, non-REM (NREM) and REM by use of adjunct EEG and EMG recordings. However, this process i...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaohui, Landsness, Eric C., Chen, Wei, Miao, Hanyang, Tang, Michelle, Brier, Lindsey M., Culver, Joseph P., Lee, Jin-Moo, Anastasio, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006179/
https://www.ncbi.nlm.nih.gov/pubmed/34822945
http://dx.doi.org/10.1016/j.jneumeth.2021.109421

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006179/
https://www.ncbi.nlm.nih.gov/pubmed/34822945
http://dx.doi.org/10.1016/j.jneumeth.2021.109421

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