LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale

arXiv:2608.25204 · cs.LG, cs.CL · Submitted 2026-08-25 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Fine-Tuning — 14× in this paper · explained in 5 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Alignment — 11× in this paper · explained in 1 episode
• Embeddings — 11× in this paper · explained in 2 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Benchmarking — 6× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 2× in this paper
• Redundancy — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Five Head Position Indicator — 1× in this paper
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Information Leakage — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 1× in this paper
• Oxford Centre for Human Brain Activity — 1× in this paper
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• Neural Codecs as Biosignal Tokenizers
• Elementary, My Dear Watson: Non-Invasive Neural Keyword Spotting in the LibriBrain Dataset
• Unlocking Non-Invasive Brain-to-Text
• The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
• MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training
• NeuralSet: A High-Performing Python Package for Neuro-AI
• The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
• LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale

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