Author
University of TübingenORCID 0000-0002-3263-2390Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
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Sebastian Nagel, Martin Spüler
This paper introduces a BCI system combining EEG2Code with deep learning, achieving high information transfer rates and accurate decoding of visual stimuli from EEG signals.
Sebastian Nagel, Martin Spüler
This paper introduces an asynchronous high-speed BCI speller with robust non-control state detection, achieving an average information transfer rate of 122.7 bit/min.
Sebastian Nagel, Martin Spüler
This paper introduces a method to model brain responses to arbitrary visual stimuli using EEG, enabling flexible and high-speed brain-computer interfaces with increased information transfer rates.