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Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King

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Manage episode 370891779 series 2863266
Content provided by Stephen M. Wilson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen M. Wilson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

King website

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]

  continue reading

29 episodes

Artwork
iconShare
 
Manage episode 370891779 series 2863266
Content provided by Stephen M. Wilson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen M. Wilson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

King website

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]

  continue reading

29 episodes

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