Coarse-to-fine Hierarchical Architecture with Sequential Mamba for Brain Reconstruction

ArXi:2606.04772v1 Announce Type: cross Understanding the relationship between deep visual representations and the human visual system is a fundamental challenge in computational neuroscience. While modern vision models achieve strong performance in image recognition, their correspondence with the hierarchical organization of the human visual cortex remains an open question. In this study, we propose CHASMBrain, a novel hierarchical two-stage framework for image-to-fMRI encoding.