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.