Updated: Jun 25, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
S M M Martens1, N J Hill, J Farquhar
1Empirical Inference Department, Max Planck Institute for Biological Cybernetics, Tübingen, Germany. smm.martens@gmail.com
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Refractory and overlap effects negatively impact P300 speller performance. Apparent motion stimuli reduce these effects, improving letter prediction for brain-computer interfaces.
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