#artificial intelligence
Aug 2025
EEGDM: Learning EEG Representation with Latent Diffusion Model
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 modeling local dependencies, the training objective of masked reconstruction does not compel the model to capture globa...
Shaocong Wang, Tong Liu, Ming Li et al.
· arXiv.org · 2 citations