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, fUS and fMRI.


Visual summaries:

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