activity
20242026
collaborators

7 papers

cs.CL2026

Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings

Mingfang Zhang, Jarod Lévy, Cedric Rommel +9

Restoring communication for people who have lost the ability to speak or move after a brain injury is a major challenge. While intracranial implants now enable high-performing brai…

cs.LG2026

DANCE: Detect and Classify Events in EEG

Jarod Lévy, Hubert Banville, Jérémy Rapin +3

Event identification in continuous neural recordings is a critical task in neuroscience. Decoding in EEG is dominated by classifying windows aligned to known event onsets. However,…

cs.LG2026

NeuralBench: A Unifying Framework to Benchmark NeuroAI Models

Hubert Banville, Stéphane d'Ascoli, Simon Dahan +12

Deep learning and large public datasets have recently catalyzed the proliferation of AI models for processing brain recordings. However, systematically evaluating these models rema…

q-bio.NC2026

NeuralSet: A High-Performing Python Package for Neuro-AI

Jean-Rémi King, Corentin Bel, Linnea Evanson +25

Artificial intelligence (AI) is increasingly central to understanding how the brain processes information. However, the integration of neuroscience and modern AI is bottlenecked by…

eess.SP2025

Brain-to-Text Decoding: A Non-invasive Approach via Typing

Jarod Lévy, Mingfang Zhang, Svetlana Pinet +4

Modern neuroprostheses can now restore communication in patients who have lost the ability to speak or move. However, these invasive devices entail risks inherent to neurosurgery.…

q-bio.NC2025

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

Mingfang Zhang, Jarod Lévy, Stéphane d'Ascoli +5

Humans effortlessly communicate their thoughts through intricate sequences of motor actions. Yet, the neural processes that coordinate language production remain largely unknown, i…