Functional diversity of visual cortex improves constraint-free natural image reconstruction from human brain activity.

ABSTRACT: Previous brain decoding studies using functional magnetic resonance imaging (fMRI) have greatly advanced our understanding of human visual coding and non-invasive brain-machine interfaces. However, most of these studies focus on classifying a limited number of image categories or reconstructing visual images with additional information, e.g., semantic categories and textual cues. Constraint-free visual reconstruction remains scarce. Here, we propose a generative network based on the functional diversity of the human visual cortex (FDGen) that takes multivariate brain activity as input and directly reconstructs natural images perceived by observers without any additional cues (semantic categories or textual description). Our FDGen is augmented by two bio-inspired computational module

SUBMITTER: Yang L 

PROVIDER: S-EPMC12744671 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature