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Aphasia recovery by language training using a brain--computer interface: A proof-of-concept study
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Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
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Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis
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A visual brain-computer interface as communication aid for patients with amyotrophic lateral sclerosis
Objective: Brain-computer interface (BCI) spellers that make use of code-modulated visual evoked potentials (cVEP) may provide a fast …
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Brain--computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review
Objective. Code-modulated visual evoked potentials (c-VEP) have been consolidated in recent years as robust control signals capable of …
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From full calibration to zero training for a code-modulated visual evoked potentials for brain--computer interface
Objective. Typically, a brain–computer interface (BCI) is calibrated using user- and session-specific data because of the individual …
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Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction
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Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
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Real-time data processing for brain-computer interfacing using optically pumped magnetometers.
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Recent advances in brain-computer interface research: A summary of the 2019 BCI Award and online BCI research activities
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