
This dataset 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). The dataset is part of the main accompanying dataset (DOI: 10.5281/zenodo.11402579) and contains the rewired SSCx network model with simplified E-to-E connectivity within the central column based on a 3rd-order simplified model of connectivity which had been fit against the original connectome beforehand. 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. 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).
Uncompress: tar -xf .xz Download and uncompress the original network model (DOI: 10.5281/zenodo.8026353) EITHER: Replace edges.h5 from the original SSCx network model by extracted edges.h5 file OR: Adjust the respective path references in circuit_config.json from the extracted circuit pointing to the folder location of the original SSCx network model
SSCx-simplified-connectome-order3.xz SSCx-HexO1-Release__ConnRewireOrder3Hex0EE ... Rewired SSCx network model with 3rd-order simplified connectome in SONATA format SSCx-HexO1-Release__ConnRewireOrder3Hex0EE__calib-__/logs/ ... Log files of Nth estimation run for matching overall numbers of connections with the original connectome
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