2 citations · 2 across the 4 of their papers we have counts for
5 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…
Goxpyriment: A Go Framework for Behavioral and Cognitive Experiments
Christophe Pallier, Julie Bonnaire, Marie-France Fourcade
We introduce `Goxpyriment', a new open-source software framework for programming behavioral and cognitive experiments using the Go programming language. The library is designed to…
Optimizing fMRI Data Acquisition for Decoding Natural Speech with Limited Participants
Louis Jalouzot, Alexis Thual, Yair Lakretz +2
We investigate optimal strategies for decoding perceived natural speech from fMRI data acquired from a limited number of participants. Leveraging Lebel et al. (2023)'s dataset of 8…
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…
Metric Learning Encoding Models: A Multivariate Framework for Interpreting Neural Representations
Louis Jalouzot, Christophe Pallier, Emmanuel Chemla +1
Understanding how explicit theoretical features are encoded in opaque neural systems is a central challenge now common to neuroscience and AI. We introduce Metric Learning Encoding…