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 of MEG-specific and MEG-inclusive multi-modal models, modest pretraining corpora, and emerging but...
| Authors | Philipp Thölke, Hamza Abdelhedi, Yorguin Mantilla-Ramos et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 3 September 2026 |
| Last updated at source | 21 September 2026 |
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