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Found 3 papers, 1 papers with code
UMM: Unsupervised Mean-difference Maximization
In each trial, for every available letter our approach makes the hypothesis that it is in fact the attended letter, and calculates the ERPs based on each of these hypotheses.
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
Covariance matrices of noisy multichannel electroencephalogram time series data are hard to estimate due to high dimensionality.
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
We could show that for 8 out of 13 subjects, the proposed approach using Bayesian optimization succeeded to select the individually optimal SOA out of multiple evaluated SOA values.
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