Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King
The Language Neuroscience Podcast07/10/23 • 95 min
In the episode, I talk with Jean-Rémi King, Research scientist and team leader at Meta AI, and Associate Researcher at CNRS, École Normale Supérieure, about three recent papers from his lab on deep learning algorithms, natural language processing, and the brain.
Millet J, Caucheteux C, Orhan P, Boubenec Y, Gramfort A, Dunbar E, Pallier C, King J-R. Toward a realistic model of speech processing in the brain with self-supervised learning. In Advances in Neural Information Processing Systems (NeurIPS) 2022. [doi]
Caucheteux C, King JR. Brains and algorithms partially converge in natural language processing. Commun Biol. 2022;5:134. [doi]
Caucheteux C, Gramfort A, King JR. Evidence of a predictive coding hierarchy in the human brain listening to speech. Nat Hum Behav. 2023;7:430-41. [doi]
07/10/23 • 95 min
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The Language Neuroscience Podcast - Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King
Transcript
Welcome to Episode 27 of the Language Neuroscience Podcast. I'm Stephen Wilson, and I'm a neuroscientist at the University of Queensland in Brisbane, Australia. My guest today is Jean-Rémi King. Jean-Rémi is a CNRS researcher at École Normale Supérieure, currently detached to Meta AI, where he leads the Brain and AI team. He's been doing some really groundbreaking work using large language models and deep learning to investigate the neur
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