fMRI-to-Image via Contrastive Learning and Diffusion

Researchers reconstruct visual images from brain activity using fMRI, contrastive learning, and diffusion priors. The method maps brain signals to latent representations and generates high-fidelity images matching perceived scenes. This approach advances neural decoding for understanding visual perception.