most citedScaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data

8 citations · 8 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.NC2024★ 8 cited

Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data

Motoshige Sato, Kenichi Tomeoka, Ilya Horiguchi +3

Brain-computer interfaces (BCIs) hold great potential for aiding individuals with speech impairments. Utilizing electroencephalography (EEG) to decode speech is particularly promis…