AI System Reconstructs Viewed Images From Brain Activity

March 8, 2023 | Automation
Osaka University

From paper abstract:

“Reconstructing visual experiences from human brain activity offers a unique way to understand how the brain represents the world, and to interpret the connection between computer vision models and our visual system. While deep generative models have recently been employed for this task, reconstructing realistic images with high semantic fidelity is still a challenging problem.

Here, we propose a new method based on a diffusion model (DM) to reconstruct images from human brain activity obtained via functional magnetic resonance imaging (fMRI).”

https://www.biorxiv.org/content/10.1101/2022.11.18.517004v2