EEGDM: Learning EEG Representation with Latent Diffusion Model.

arXiv:2508.20705v5 Announce Type: replace-cross Abstract: Recent advances in self-supervised learning for EEG representation have largely relied on masked reconstruction, where models are trained to recover randomly masked signal segments. While effective at m