3 citations · 7 across the 3 of their papers we have counts for
3 papers
Decoding individual words from non-invasive brain recordings across 723 participants
Stéphane d'Ascoli, Corentin Bel, Jérémy Rapin +4
Deep learning has recently enabled the decoding of language from the neural activity of a few participants with electrodes implanted inside their brain. However, reliably decoding…
Language acquisition: do children and language models follow similar learning stages?
Linnea Evanson, Yair Lakretz, Jean-Rémi King
During language acquisition, children follow a typical sequence of learning stages, whereby they first learn to categorize phonemes before they develop their lexicon and eventually…
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing
Laura Gwilliams, Graham Flick, Alec Marantz +3
The "MEG-MASC" dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each particip…