Sebastian Nagel

World's Fastest Brain-Computer Interface: Combining EEG2Code with Deep Learning

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.

Asynchronous non-invasive high-speed BCI speller with robust non-control state detection

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.

Modelling the brain response to arbitrary visual stimulation patterns for a flexible high-speed BCI

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.