Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG

Currently there are no reliable means of identifying infants at-risk for later language disorders. Infant neural responses to rhythmic stimuli may offer a solution, as neural tracking of rhythm is atypical in children with developmental language disorders. However, infant brain recordings are noisy....

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Detalles Bibliográficos
Autores principales: Gibbon, Samuel, Attaheri, Adam, Ní Choisdealbha, Áine, Rocha, Sinead, Brusini, Perrine, Mead, Natasha, Boutris, Panagiotis, Olawole-Scott, Helen, Ahmed, Henna, Flanagan, Sheila, Mandke, Kanad, Keshavarzi, Mahmoud, Goswami, Usha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358977/
https://www.ncbi.nlm.nih.gov/pubmed/34111684
http://dx.doi.org/10.1016/j.bandl.2021.104968

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358977/
https://www.ncbi.nlm.nih.gov/pubmed/34111684
http://dx.doi.org/10.1016/j.bandl.2021.104968

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