Conditional GAN frameworks to perform synthetic EEG generation for dataset augmentation as 1-D signals or 2-D spectrograms.
Contains the code implementation for GenerateEEG paper.
Developed for AS.050.337: Reading the Mind: Computational Cognitive Neuroscience of Vision, Johns Hopkins University.
Authored by Rishi Chandra, rchand18@jhu.edu