bioJRKing update

Author: DanielNietoC

_posts/2023-11-25-project-4.markdown

@@ -12,7 +12,10 @@ project-date: November 2025
 category:
 description: "Deep learning has made major progress in natural language processing. Beyond these technical performance, these algorithms offer new methods to understand and model how language is processed in the human brain. <br />
 Using both encoding (representation -> brain) and decoding (brain -> representations), we show that the comparison between modern speech and language models effectively accounts for brain responses to natural speech as recorded with EEG, MEG, iEEG and fMRI, including in children between 2 and 12 years old. <br />
-This systematic comparison provides an operational foundation to model language in the adult and developing brain, and thus offers a new path to understand the neural and computational bases of this human-specific ability."
+This systematic comparison provides an operational foundation to model language in the adult and developing brain, and thus offers a new path to understand the neural and computational bases of this human-specific ability. <br />
+<br />
+<h4> About </h4>
+Jean-Rémi King is a CNRS researcher at École Normale Supérieure currently detached to Meta AI, where he leads the Brain & AI team. This team aims to identify the brain and computational bases of human intelligence, with a focus on language. For this, they develop deep learning algorithms to decode and model brain activity recorded with MEG, EEG, electrophysiology and fMRI."
 
 ---