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Updated: Jan 30, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
Published on: September 8, 2023
Brain⁻Computer Interfaces for Human Augmentation
Davide Valeriani1, Caterina Cinel2, Riccardo Poli3
1Department of Otolaryngology, Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA. davide_valeriani@meei.harvard.edu.
Abstract:
The field of brain⁻computer interfaces (BCIs) has grown rapidly in the last few decades, allowing the development of ever faster and more reliable assistive technologies for converting brain activity into control signals for external devices for people with severe disabilities [...].
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