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Preprint Sep 2026

MEG-Mamba: A Scalable State-Space Foundation Model for Magnetoencephalography

Magnetoencephalography (MEG) is an imaging technique that offers a non-invasive, millisecond-resolution view of human brain activity. The increasing availability of MEG data presents an opportunity to take advantage of a recent advance in artificial intelligence, namely self-supervised foundation models. Existing found...

C. Gohil, Sungjun Cho, Oiwi Parker Jones et al. · 0 citations
Open access Aug 2026

Intracranial Validation of Magnetoencephalography Across Oscillatory Frequency and Depth

Non-invasive, whole-brain neuroimaging methods such as functional magnetic resonance imaging, electroencephalography (EEG), and magnetoencephalography (MEG) are essential tools for studying the basis of human cognition in health and disease. MEG offers the opportunity to study neural activity at its intrinsic timescale...

C. Gohil, George C. O'Neill, Gareth R. Barnes et al. · 1 citation

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