Classifier-based latency estimation: a novel way to estimate and predict BCI accuracy
Author:
Publisher
IOP Publishing
Subject
Cellular and Molecular Neuroscience,Biomedical Engineering
Link
http://stacks.iop.org/1741-2552/10/i=1/a=016006/pdf
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1. Brain–computer interfaces for communication and control
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5. A Bayesian method to estimate single-trial event-related potentials with application to the study of the P300 variability
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2. The Effect of Jittered Stimulus Onset Interval on Electrophysiological Markers of Attention in a Brain–Computer Interface Rapid Serial Visual Presentation Paradigm;Signals;2024-01-09
3. Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme;Computers in Biology and Medicine;2024-01
4. The Convergence of AI and BCIs;Artificial Intelligence in the Age of Nanotechnology;2023-12-07
5. P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation;Journal of Visualized Experiments;2023-09-08
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