The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

arXiv:2609.03231 · cs.LG · Submitted 2026-09-03 · Read on arXiv

cs.LG

Submitted: 2026-09-03

Updated: 2026-09-03

Code: https://github.com/neural-processing-lab/MEG-XL

Terminology

• Accuracy — 7× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Fine-Tuning — 5× in this paper · explained in 5 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• Training in Autonomous Intelligent Machines and Systems — 3× in this paper
• International Conference on Machine Learning — 2× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Open-Vocabulary Mutual Information — 1× in this paper
• Oxford Centre for Human Brain Activity — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• 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
• Are EEG-to-Text Models Working?
• The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
• LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale
• Brain-to-Text Benchmark '24: Lessons Learned
• Achieving Human Parity in Conversational Speech Recognition

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: Local-Consistency Optimisation for Bayesian Neural Networks
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks