See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. (arXiv:2208.03666v4 [cs.MM] UPDATED)

Recent studies demonstrate the use of a two-stage supervised framework to
generate images that depict human perception to visual stimuli from EEG,
referring to EEG-visual reconstruction. They are, however, unable to reproduce
the exact visual stimulus, since it is the human-specified annotation of
images, not their data, that determines what the synthesized images are.
Moreover, synthesized images often suffer from noisy EEG encodings and unstable
training of generative models, making them hard to recognize. Instead, we
present a single-stage EEG-visual …

arxiv brain retrieval