Jean-Remi King

I am a CNRS researcher at École Normale Supérieure currently detached to Meta AI, where I lead the Brain & AI team. This team aims to identify the brain and computational bases of human intelligence, with a focus on language. For this, we develop deep learning algorithms to decode and model brain activity recorded with MEG, EEG, electrophysiology and fMRI.

Media / Public interventions:

  • Yahoo! Finance: Big Tech sees neurotechnology as its next AI frontier.
  • France Culture: La Science CQFD: Mettre les points sur les IA.
  • Le Monde: Artificial Intelligence deciphers images perceived by the human brain
  • Epsiloon Podcast: Dans la tete de l’IA la plus puissante du monde.
  • Pontifical Academy: The unreasonable effectiveness of artificial intelligence in the neurosciences.
  • Meta AI: Toward a real-time decoding of images from brain activity.
  • Les Echos: “Dans le sillage de Yann Lecun, trois autres Francais chercheurs stars de l’IA.” (#HumbleTitleHello)
  • Time: Meta Is Building AI That Reads Brainwaves. The Reality, So Far, Is Messy.
  • Meta AI: Using AI to decode speech from brain activity.
  • The Language Neuroscience Podcast: Natural language processing, and the brain.
  • Pour la Science: Quand les IA miment l’activité cérébrale.
  • La Recherche: Décrypter les réseaux du langage dans le cerveau.
  • Towards Data Science Podcast: Does the brain run on deep learning?
  • Quanta: Self-Taught AI Shows Similarities to How the Brain Works.
  • Meta AI: Studying the brain to build AI that processes language as people do.
  • Ecole Normale Supérieure: Jean-Rémi King, entre I.A. et neurosciences (video)
  • New York Times: ‘It’s Gigantic’: A New Way to Gauge the Chances for Unresponsive Patients
  • CBC News: Your brain registers more than you think you see, NYU researchers find.

Visual summaries of our latest studies:

Brain decoding: toward real-time reconstruction of visual perception, ICLR 2024 👇

By Benchetrit, Banville and King,

Negation mitigates rather than inverts the neural representations of adjectives, Plos Biology 2024 👇

By Arianna Zuanazzi and team,

Hierarchical dynamic coding coordinates speech comprehension in the brain, bioRxiv 2024 👇

By Laura Gwilliams and team

Tracking the neural codes for words and phrases during semantic composition, working memory storage and retrieval, Cell Reports 2024 👇

By Desbordes, Dehaene and & King

Evidence of a predictive coding hierarchy in the human brain listening to speech, Nature Human Behaviour 2023 👇

By Caucheteux, Gramfort & King

Toward a realistic model of speech processing in the brain with self-supervised learning, Neurips 2022 👇

By Millet*, Caucheteux*, Orhan, Boubenec, Gramfort, Dunbar, Pallier & King

Decoding speech from non-invasive brain recordings, arXiv 2022 👇

By Défossez, Caucheteux, Kabeli, Rapin & King

Brains and algorithms partially converge in natural language processing, bioRxiv 2020, Nature Communications Biology 2022 👇

By Caucheteux & King

Deep language algorithms predict semantic comprehension from brain activity, Nature Scientific Report 2022 👇

By Caucheteux, Gramfort & King

Deep Recurrent Encoder: A scalable end-to-end network to model magneto-encephalography at scale, NBDT 2022 👇

By Chehab*, Défossez*, Loiseau, Gramfort & King

Neural dynamics of phoneme sequences reveal position-invariant code for content and order, Nature Communications 2022 👇

By Gwilliams, King, Marantz & Poeppel

Long-range and hierarchical language predictions in brains and algorithms, arXiv 2021 👇

By Caucheteux, Gramfort & King

Model-based analysis of brain activity reveals the hierarchy of language, EMNLP 2021 👇

By Caucheteux, Gramfort & King

Disentangling Syntax and Semantics in the Brain with Deep Networks, ICML 2021 👇

By Caucheteux, Gramfort & King

Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech, arXiv 2021 👇

By Millet & King

Bifurcation in brain dynamics reveals a signature of conscious processing independent of report, Nature Communications 2021 👇

By Sergent, Corazzol, Labouret, Stockart, Wexler, King, Meyniel & Pressnitzer

The Human Brain Encodes a Chronicle of Visual Events at Each Instant of Time Through the Multiplexing of Traveling Waves, Journal of Neuroscience 2021 👇

By Wyart & King

Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations, Neuroimage 2020 👇

By King, Charton, Lopez-Paz & Oquab

COVID-19: the promises and pitfalls of Machine Learning, Nature Machine Intelligence 2020 👇

By Peiffer-Smadja, Maatoug, Lescure, D’Ortenzio, Pineau & King

Recurrent Processes Emulate a Cascade of Hierarchical Decisions, eLife 2020 👇

By Gwilliams & King