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Benjamin Ballyk

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#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
#machine learning Preprint Sep 2026

A Common Measure of Communication for Speech Brain-Computer Interfaces

Deriving open-vocabulary mutual information (OVMI), an information-theoretic quantity that measures the information conveyed by a decoder relative to a reference distribution over the words a user may wish to communicate, provides the speech BCI community with a principled way to compare heterogeneous systems, improve...

D. Jayalath, Benjamin Ballyk, Oiwi Parker Jones · 3 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

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