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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...
| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |