Keynote Lecture: Jean-Rémi KING
The languages of brains and machines.
Tuesday, October 24, 2023, 9:00 – 10:00 am, Auditorium
Chair: Stephen M. Wilson, University of Queensland
Speaker: Jean-Rémi KING, Meta AI, École Normale Supérieure, CNRS
Deep learning has recently made major progress in speech and natural language processing. These models thus provide an unprecedented framework to understand and decode the representations of language in the human brain. Here, we study the similarities and differences between brains and large language models using large-scale datasets of magneto/electro-encephalography (M/EEG), functional Magnetic Resonance Imaging (fMRI), and intracranial recordings. Our analyses show how deep learning helps decomposing, interpreting and decoding the unfolding of syntactic and semantic representations in the adult human brain. More generally, these results delineate a clear path to understand the computational organization of natural language processing.
About Jean-Rémi King
Jean-Rémi King, is a CNRS researcher at École Normale Supérieure in Paris, France, and is currently detached to Meta AI, where he leads the Brain & AI team. This team aims to identify the brain and computational bases of human intelligence, with a focus on language. For this, they develop deep learning algorithms to decode and model brain activity recorded with MEG, EEG, electrophysiology, fUS and fMRI.
The SNL 2023 Keynote Lecture is Sponsored by The MIT Press.