Decoding Visual Perception from Electroencephalography Using Latent Diffusion Modeling

This study demonstrates the feasibility of reconstructing visual images from electroencephalography (EEG) data using a latent diffusion modeling approach, despite the inherent limitations of EEG in spatial resolution and visual information encoding.