EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals

5 Jun 2018Kay Gregor HartmannRobin Tibor SchirrmeisterTonio 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-GAN as a framework to generate electroencephalographic (EEG) brain signals... (read more)

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