My group investigates the computational bases of human intelligence, and it 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? Contact me!
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
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
0/9: "Recurrent Processes Emulate a Cascade of Hierarchical Decisions", by @GwilliamsL and I, the tl;dr thread:— Jean-Rémi King (@jrking0) November 15, 2019
3/9 Their average brain response confirm a fast feedforward recruitment of their visual hierarchies pic.twitter.com/Y39WYwJ2Yx— Jean-Rémi King (@jrking0) November 15, 2019
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.