Scholar
Jean-Rémi King
Google Scholar ID: XZOgIwEAAAAJ
Meta
Citations & Impact
Citations
6,452
H-index
39
i10-index
59
Publications
20
Co-authors
48
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI
- - Emergence of Language in the Developing Brain
- - Brain-to-Text Decoding: A Non-invasive Approach via Typing
- - From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
- - Exca - Execute and cache seamlessly in python
- - A polar coordinate system represents syntax in large language models
- - Hierarchical dynamic coding coordinates speech comprehension in the human brain
- - Brain decoding: toward real-time reconstruction of visual perception
- - Negation mitigates rather than inverts the neural representations of adjectives
- - Tracking the neural codes for words and phrases during semantic composition, working memory storage and retrieval
- - Evidence of a predictive coding hierarchy in the human brain listening to speech
- - Toward a realistic model of speech processing in the brain with self-supervised learning
Research Experience
- CNRS researcher at École Normale Supérieure; Leading the Brain & AI team at Meta AI.
Background
- CNRS researcher 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.
