Before revision:  Strikingly, geometric renormalization of connectome maps in hyperbolic space, which decreases the resolution by coarse-graining and averaging over short similarity distances , predicts the properties of connectomes including self-similarity .
After revision:  Strikingly, a geometric network model, where distances are not Euclidean, predicts the multiscale properties of connectomes, including self-similarity. The model relies on the application of a geometric renormalization protocol which decreases the resolution by coarse-graining and averaging over short similarity distances , predicts the properties of connectomes including self-similarity .