Dataset related to "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations"

This is an accompanying dataset to the article with the title "A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations" (DOI: 10.1162/netn_a_00429). It contains the resulting data of the manipulated SSCx network model, such as benchmarks, fitted stochastic models, manipulated connectomes, structural validations, as well as simulation data and analysis results. The corresponding repository with code, configuration files, and detailed instructions for reproducing the results in this dataset as well as generating the results figures in the accompanying article is available here: https://github.com/BlueBrain/sscx-connectome-manipulations The underlying Connectome-Manipulator software is available here: https://github.com/BlueBrain/connectome-manipulator Additional requirement: Original SSCx network model (DOI: 10.5281/zenodo.8026353) ℹ️ Disclaimer: Some results may have been produced with an older version of Connectome-Manipulator, so slight differences might be possible when re-running with the latest version. Update 25/09/2024 (v2): Added benchmark results for assessing strong and weak scaling behavior of connectome rewiring. Funding Funding provided by the Swiss government’s ETH Board to the Blue Brain Project, a research center of the École polytechnique fédérale de Lausanne (EPFL).