RESEARCH

NLP

From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production

February 06, 2025

Abstract

Humans effortlessly communicate their thoughts through intricate sequences of motor actions. Yet, the neural processes that coordinate language production remain largely unknown, in part because speech artifacts limit the use of neuroimaging. To elucidate the unfolding of language production in the brain, we investigate with magnetoencephalography (MEG) and electroencephalography (EEG) the neurophysiological activity of 35 skilled typists, while they typed sentences on a keyboard. This approach confirms the hierarchical predictions of linguistic theories: the neural activity preceding the production of each word is marked by the sequential rise and fall of context-, word-, syllable-, and letter-level representations. Remarkably, each of these neural representations is maintained over long time periods within each level of the language hierarchy. This phenomenon results in a superposition of successive representations that is supported by a hierarchy of dynamic neural codes. Overall, these findings provide a precise computational breakdown of the neural dynamics that coordinate the production of language in the human brain.

Download the Paper

AUTHORS

Written by

Mingfang (Lucy) Zhang

Jarod Levy

Stéphane d'Ascoli

Jérémy Rapin

F.-Xavier Alario

Pierre Bourdillon

Svetlana Pinet

Jean Remi King

Publisher

NA

Related Publications

August 14, 2025

RESEARCH

COMPUTER VISION

DINOv3

Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seungeun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Theo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Herve Jegou, Patrick Labatut, Piotr Bojanowski

August 14, 2025

August 13, 2025

HUMAN & MACHINE INTELLIGENCE

RESEARCH

Disentangling the Factors of Convergence between Brains and Computer Vision Models

Josephine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean Remi King

August 13, 2025

August 12, 2025

RESEARCH

NLP

Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions

GenAI and Infra Teams

August 12, 2025

August 05, 2025

RESEARCH

CORE MACHINE LEARNING

Open Molecular Crystals 2025 (OMC25) Dataset and Models

Vahe Gharakhanyan, Luis Barroso-Luque, Yi Yang, Muhammed Shuaibi, Kyle Michel, Daniel S. Levine, Misko Dzamba, Xiang Fu, Meng Gao, Xingyu Liu, Haoran Ni, Keian Noori, Brandon M. Wood, Matt Uyttendaele, Arman Boromand, C. Lawrence Zitnick, Noa Marom, Zachary W. Ulissi, Anuroop Sriram

August 05, 2025

Help Us Pioneer The Future of AI

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.