Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
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Jan Sosulski
Ph.D. Student
University of Freiburg
Latest
Exploring new territory: Calibration-free decoding for c-VEP BCI
Unsupervised Mean-difference Maximization (UMM)
UMM: Unsupervised Classification of ERPs with Confidence
UMM: Unsupervised Mean-difference Maximization
Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain–computer interfaces
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis
Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
Spatial filters for auditory evoked potentials transfer between different experimental conditions
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces
2-D-27 Closed-loop stimulus parameter optimization framework for event-related potential paradigms
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