SOURCE-LINKED INTELLIGENCE
A Roadmap for MEG Foundation Models
Foundation models are beginning to reshape brain-signal analysis by moving the field beyond task-specific decoding pipelines toward reusable models pretrained on broad neural datasets. Magnetoencephalography (MEG) is a compelling but still underdeveloped target for this shift: it captures human cortical dynamics at millisecond resolution while offering stronger spatial interpretability than EEG, making it especially valuable for source-resolved studies of perception, language, cognition, and clinical brain function. Yet MEG foundation models remain at an early stage, with only a small number o
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T20:43:26.000Z
First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.