I am a CNRS researcher at the Department of Cognitive Science of Ecole Normale Supérieure. My group investigates the computational bases of human intelligence, and in particular our perceptual and language processes, using machine learning for electrophysiology, neuroimaging and computational modeling.

In my spare time, I am a core developer of MNE-Python, an open source package for processing human electrophysiological data.

Want to work on the topic with us? Contact me!


Language processing in brains and deep neural networks: computational convergence and its limits

Caucheteux & King, bioRxiv 2020

tl;dr: Do deep nets become increasingly correlated with brain activity as they learn to process language? Short answer: only their middle layers do.

Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations

King, Charton, Lopez-Paz & Oquab, Neuroimage 2020

tl;dr: We introduce a simple method to combine the advantages of decoding and encoding analyses.

COVID-19: the promises and pitfalls of Machine Learning

Peiffer-Smadja, Maatoug, Lescure, D’Ortenzio, Pineau & King, Nature Machine Intelligence 2020

tl;dr: We’re teaming up with the AP-HP hospital to review the promises and pitfalls of Machine Learning.

Neural dynamics of phoneme sequencing

Gwilliams, King, Marantz & Poeppel, bioRxiv 2020

tl;dr: Decoding the neural dynamics underlying phonetic representations shows how the brain can keep up multiple phonemes until the corresponding word is identified.

Intersecting AI and Neuroscience

The Human Brain encodes a Chronicle of Visual Events at each Instant of Time

Wyart and King, bioRxiv 2019

tl;dr: We measure brain responses to image sequences, and show how the brain recruits a hierarchy of neural processes in order to efficiently represents multiple snapshots of the past. Check-out our tweet thread for the illustrated summary

Recurrent Processes Emulate a Cascade of Hierarchical Decisions

Gwilliams and King bioRxiv 2019

tl;dr: When an image is ambiguous, the brain slowly recruits a hierarchy of recurrent processes to generate categorical percepts. Check-out our tweet thread for the illustrated summary

Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury

Claassen et al, New England Journal of Medicine 2019

tl;dr: Acute brain injury patients can sometimes be behaviorally unresponsive. Yet, we show that 15% of them still demonstrate motor-command brain responses.