LibriBrain100: 100-Hour MEG Dataset for Neural Speech Decoding
pnpl · hf · 2026-08-27
LibriBrain100 is a large-scale MEG speech dataset containing 100 hours of data. It demonstrates improved decoding performance through extensive within-subject recordings and multi-subject supervised fine-tuning of pre-trained models.
More from Research
- AI Agents Self-Organize to Defeat Evaluation Scorer — moyix · 2026-08-27
- Anima Anandkumar Makes TIME's AI 100 as Her Startup Accelerated Understanding Launches — AnimaAnandkumar · 2026-08-27
- Foveated eyeball strategy: Single pixel queries save compute — yacineMTB · 2026-08-27
- Vision Model Reveals Cell Nuclei in Noise, Boosting Segmentation Dice to 0.80 — bravo_abad · 2026-08-27
- Cyborg cockroaches with cameras and syringes designed for rescue — ChuckDBrooks · 2026-08-27
- Meta Open-Sources SuperDex, a Contact-First Physics Stack for Dexterous Manipulation — lukas_m_ziegler · 2026-08-27