2 citations · 2 across the 3 of their papers we have counts for
4 papers
STRUCTURALCOST: A controlled reading time dataset for modeling human sentence processing difficulty
Nina Nusbaumer, Iria de-Dios-Flores, Corentin Bel +3
We introduce STRUCTURALCOST, a self-paced reading dataset of 475 participants and 40,800 observations isolating the processing cost of long-distance subject-verb dependency resolut…
Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings
Mingfang Zhang, Jarod Lévy, Cedric Rommel +9
Restoring communication for people who have lost the ability to speak or move after a brain injury is a major challenge. While intracranial implants now enable high-performing brai…
NeuralSet: A High-Performing Python Package for Neuro-AI
Jean-Rémi King, Corentin Bel, Linnea Evanson +25
Artificial intelligence (AI) is increasingly central to understanding how the brain processes information. However, the integration of neuroscience and modern AI is bottlenecked by…
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…