Imagined speech can be decoded from low- and cross-frequency intracranial EEG features

Reconstructing intended speech from neural activity using brain-computer interfaces holds great promises for people with severe speech production deficits. While decoding overt speech has progressed, decoding imagined speech has met limited success, mainly because the associated neural signals are w...

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Detalles Bibliográficos
Autores principales: Proix, Timothée, Delgado Saa, Jaime, Christen, Andy, Martin, Stephanie, Pasley, Brian N., Knight, Robert T., Tian, Xing, Poeppel, David, Doyle, Werner K., Devinsky, Orrin, Arnal, Luc H., Mégevand, Pierre, Giraud, Anne-Lise
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748882/
https://www.ncbi.nlm.nih.gov/pubmed/35013268
http://dx.doi.org/10.1038/s41467-021-27725-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748882/
https://www.ncbi.nlm.nih.gov/pubmed/35013268
http://dx.doi.org/10.1038/s41467-021-27725-3

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