An electroencephalogram (EEG) signal generation network and method, and a storage medium. The EEG signal generation network comprises a real EEG signal input terminal (100), a real EEG signal labeling module (200), a generator (300), a sharing module (400), a discriminator (500) and a classifier (600); by means of training, loss between the generator (300), the discriminator (500) and the classifier (600) is minimized, the combined loss between the discriminator (500) and the classifier (600) is minimized, and a new event-related potential is generated. By means of multiple improvements to a generative adversarial network, a large amount of high-quality event-related potential data can be efficiently generated, which solves the problem of small data samples in the field of brain-computer interfaces.
ELECTROENCEPHALOGRAM SIGNAL GENERATION NETWORK AND METHOD, AND STORAGE MEDIUM