A practical guide to applying machine learning to infant EEG data

Electroencephalography (EEG) has been widely adopted by the developmental cognitive neuroscience community, but the application of machine learning (ML) in this domain lags behind adult EEG studies. Applying ML to infant data is particularly challenging due to the low number of trials, low signal-to...

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Detalles Bibliográficos
Autores principales: Ng, Bernard, Reh, Rebecca K., Mostafavi, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943418/
https://www.ncbi.nlm.nih.gov/pubmed/35334336
http://dx.doi.org/10.1016/j.dcn.2022.101096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943418/
https://www.ncbi.nlm.nih.gov/pubmed/35334336
http://dx.doi.org/10.1016/j.dcn.2022.101096

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