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Introducing Block-Toeplitz Covariance Matrices to Remaster Linear
  Discriminant Analysis for Event-related Potential Brain-computer Interfaces
v1v2 (latest)

Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces

Journal of Neural Engineering (J. Neural Eng.), 2022
4 February 2022
J. Sosulski
Michael Tangermann
ArXiv (abs)PDFHTMLGithub (3★)

Papers citing "Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces"

4 / 4 papers shown
Review of Deep Representation Learning Techniques for Brain-Computer
  Interfaces and Recommendations
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and RecommendationsJournal of Neural Engineering (J. Neural Eng.), 2024
Pierre Guetschel
Sara Ahmadi
Michael Tangermann
393
10
0
17 May 2024
Exploring new territory: Calibration-free decoding for c-VEP BCI
Exploring new territory: Calibration-free decoding for c-VEP BCI
J. Thielen
J. Sosulski
M. Tangermann
124
4
0
22 Mar 2024
UMM: Unsupervised Mean-difference Maximization
UMM: Unsupervised Mean-difference Maximization
J. Sosulski
Michael Tangermann
238
5
0
20 Jun 2023
Classification of BCI-EEG based on augmented covariance matrix
Classification of BCI-EEG based on augmented covariance matrix
Igor Carrara
Théodore Papadopoulo
207
7
0
09 Feb 2023
1
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