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When More Is Not Better: Component Anti-Synergy in a P300 Speller
P300 brain-computer interface (BCI) spellers can provide hands-free communication for people with severe motor impairments. Modern pipelines combine multiple individually promising components, often assuming that 'more-is-better'. We tested this assumption using a four-component full-factorial experiment varying the inclusion of Euclidean Alignment (EA), xDAWN spatial filtering, subject calibration, and language model priors on a public P300 dataset. Performance was evaluated using accuracy, repetitions, and information transfer rate (ITR) with mixed-effects models. Results show that the value
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-10T01:32:15.000Z
First collected: 2026-09-20T19:12:12.556Z. This is not the publication date.