AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

A Roadmap for MEG Foundation Models

arXiv · AI, language, vision and robotics · article · Sep 3, 2026 · UTC

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

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-21T04:31:57.454Z. This is not the publication date.