2 papers
eess.SP2018
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
Generative adversarial networks (GANs) are recently highly successful in generative applications involving images and start being applied to time series data. Here we describe EEG-…
cs.LG2017
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
Recently, there is increasing interest and research on the interpretability of machine learning models, for example how they transform and internally represent EEG signals in Brain…