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20202026
most citedBrain-to-Text Decoding: A Non-invasive Approach via Typing

4 citations · 4 across the 8 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CL2026

RoPE is Dead, Long Live RoPE: Towards Scalable Data-aware Positional Encodings

Jarod Lévy, Mathurin Videau, Jad Yehya +3

Transformers process tokens without any inherent notion of order, making positional encoding a fundamental requirement rather than an architectural refinement. Rotary Position Embe…

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…