# Introduction This is the repository of the work "Diffeomorphic Registration for Retinotopic Maps of Multiple Visual Regions” (BSAF-D-21-00236). The diffeomorphic condition is a natural requirement for retinotopic map registration because two retinotopic maps can be aligned by stretching/compressing but without tearing up, a property assumed in structural brain surface registrations (Fischl and et al. 1999; Shattuck and Leahy 2002; Yeo et al. 2010). Roughly speaking, diffeomorphic registration means the registration map is smooth and invertible. There are at least two benefits from diffeomorphic registration. First, with a high-performance diffeomorphic registration method, one can ensure that the retinotopic maps are topological (nearby neurons have receptive fields in nearby locations on the retina; Wandell et al. 2007)) by aligning individual subjects’ retinotopic maps to a predefined template. Second, diffeomorphic registration can be used to automatically infer boundaries of the visual areas, avoiding tedious manual labeling (Glasser et al. 2016). # Folder Structure 1. code: including the code and script to reproduce the figures/tables. 2. data: requried to reproduce the tables/figures 3. figures: the generated figures. ***Note!*** The core functionality of this paper is available on github https://github.com/Retinotopy-mapping-Research/DRRM # License The license for the core function DRRM: https://github.com/Retinotopy-mapping-Research/DRRM/blob/master/LICENSE.txt