Imagined speech can be decoded from low- and cross-frequency intracranial EEG features
oleh: Timothée Proix, Jaime Delgado Saa, Andy Christen, Stephanie Martin, Brian N. Pasley, Robert T. Knight, Xing Tian, David Poeppel, Werner K. Doyle, Orrin Devinsky, Luc H. Arnal, Pierre Mégevand, Anne-Lise Giraud
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-01-01 |
Deskripsi
Reconstructing imagined speech from neural activity holds great promises for people with severe speech production deficits. Here, the authors demonstrate using human intracranial recordings that both low- and higher-frequency power and local cross-frequency contribute to imagined speech decoding.