Data aggregation strategies for a P300 speller: decoding models, epoch averaging, cross-subject ensembles, and multi-channel models
L. S. Sidorov, Anna V Makarova, Archil Iverievich Maysuradze, Mikhail A. Lebedev
This paper compares data aggregation strategies for improving P300 classification using EEG, finding that controlled cross-subject averaging with multi-channel models achieves high Information Transfer Rate.
bioRxiv · Jun 22, 2026 · PreprintNeuroscience