#artificial intelligence
Apr 2026
Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data
This work proposes a latent functional alignment (LFA) approach that maps imagery-evoked activity to the pretrained model's semantic content-enriched conditioning space, by adding a simple alignment module, while keeping the original remaining components frozen.
Fabrizio Spera, T. Boccato, Michal Olak et al.
· arXiv.org · 0 citations