A single spatial organization principle governs how the brain integrates different types of information (vision, sound, language), and this principle can be captured in AI models to predict and discover new functional brain regions.
Researchers built Topo-Omni, a neural network model that maps how the brain organizes visual, auditory, and language processing in a single unified spatial layout. By adding a spatial smoothness constraint to a pretrained foundation model, they discovered that nearby regions specialize in related tasks—just like real brains do.