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Updated: Mar 25, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
1Algoma University, Sault Ste. Marie, Ontario, P6A 2G4, Canada.
A new asynchronous paradigm (ASP) for P300-based brain-computer interfaces (BCIs) significantly improves information transfer rates. This BCI advancement offers higher performance and a novel timing strategy for flashing items, benefiting users with neuromuscular disabilities.
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