Generative adversarial networks in eeg analysis: an overview

HIGHLIGHTS

• who: A. G. Habashi from the Khadijah et_al Improve the accu- Private dataset , [18] racy, convergence + rate, and generali- Nao dataset zation capabilities of the model From UCI, Neurodynamics Laboratory at the State University of New York have published the paper: Generative adversarial networks in EEG analysis: an overview, in the Journal: (JOURNAL)
• what: The authors focus on the utility of GANs in different applications including Brain-Computer Interface (BCI) paradigms such as and P300-based systems in addition to epileptic seizures detection and prediction and various other applications. The authors aim here to provide . . .
  

   

  

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