Codes and data upload for Mesocircuit Model project

Information This resource contains source codes and data required to produce the figures from:Senk, J., Hagen, E., van Albada, S. J., & Diesmann, M. (2024). Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space. arXiv preprint arXiv:1805.10235v3For only source codes, see: Senk, J., & Hagen, E. (2024). Mesocircuit Model (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.13798936 Instructions To use this resource, download the mesocircuit-model-1.0.0.tar.gz file. Then, extract the contents of the archive and run the following command in the extracted directory: $ # unzip the archive $ tar -xzf mesocircuit-model-1.0.0.tar.gz $ # create and activate the conda environment $ cd mesocircuit-model $ conda env create -f environment.yml $ conda activate mesocircuit $ # run the figure-generation scripts $ cd scripts $ python ms_figures_simulations.py $ python run_mesocircuit_lfps.py $ # deactivate environment $ conda deactivate Installers for conda may be obtained e.g., from https://github.com/conda-forge/miniforge. The figures produced by ms_figures_simulations.py will be saved in the `ms_figures` directory. The figures produced by run_mesocircuit_lfps.py will be saved in mesocircuit_data/mesocircuit_MAMV1/dd1dcbd4034fbd4f689fbdd2ff7abb3b/lfp/figures.