Author

M. Woolrich

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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

#machine learning Preprint Sep 2026

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasive speech decoding. Designed to progress from foundational tasks toward the linguistic complexity required for a practical brain-computer interface (BCI), it set the stage with speech detection and phonem...

Francesco Mantegna, Gereon Elvers, D. Jayalath et al. · 0 citations

Preprint Aug 2026

LibriBrain100: One Hundred Hours of Broad and Deep MEG Data for Neural Speech Decoding at Scale

LibriBrain100 is introduced, a large-scale MEG dataset for speech decoding designed from the ground up for reproducible, standardised evaluation and the value of broad multi-subject data is demonstrated: supervised finetuning of a pre-trained model can substantially compensate for limited per-subject data.

Francesco Mantegna, D. Jayalath, Gereon Elvers et al. · 0 citations