Visual Stimulus Reconstruction from EEG Signals Using Masked Variational Autoencoders and Stable Diffusion
Electroencephalography (EEG)-based Brain–Computer Interfaces (BCIs) have emerged as a promising paradigm for decoding neural activity and translating brain signals into meaningful outputs. Among the various applications of BCIs, reconstructing or generating visual stimuli from neural signals represents a challenging an...