1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.SP2024
Exploring new territory: Calibration-free decoding for c-VEP BCI
J. Thielen, J. Sosulski, M. Tangermann
This study explores two zero-training methods aimed at enhancing the usability of brain-computer interfaces (BCIs) by eliminating the need for a calibration session. We introduce a…
cs.LG2022
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces
Jan Sosulski, Michael Tangermann
Covariance matrices of noisy multichannel electroencephalogram time series data are hard to estimate due to high dimensionality. In brain-computer interfaces (BCI) based on event-r…
q-bio.NC2021★ 1 cited
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
Jan Sosulski, David Hübner, Aaron Klein +1
The decoding of brain signals recorded via, e.g., an electroencephalogram, using machine learning is key to brain-computer interfaces (BCIs). Stimulation parameters or other experi…