MANUSCRIPT: "Modelling the Effects of Ephaptic Coupling on Selectivity and Response Patterns during Artificial Stimulation of Peripheral Nerves", by Miguel Capllonch-Juan and Francisco Sepulveda (2020). PLOS Computational Biology. SECTION: "Results: Effects of ephaptic coupling on axon recruitment and selectivity" MODEL: Nerve 1 DATASET: This dataset contains the code and the data for the subsection "Results: Effects of ephaptic coupling on axon recruitment and selectivity". In particular, this folder contains the results for the simulations with EC. - Data: recruitment_data.txt and *.json - Code: ./code/ INSTRUCTIONS: Running the simulations: 1. Prepare the simulations by running "create_folders.py". 2. If necessary, modify any files in the folders with "modify_files_all.sh". 3. Run all the simulations with "run_all_simulations.sh". Alternatively, a selected list of simulations can be run with "run_all_simulations_specific.sh". Data processing: 4. To collect the recruitment results from the simulation outputs, run "get_stim_results.py". Note: the json files also contain information about AP delays from stimulation onset. 5. Once this has been done both for EC and noEC, "cd .." and build "recruitment_data.csv" manually from their corresponding "recruitment_data.txt" files (i.e., "./ec/recruitment_data.txt", and "./noec/recruitment_data.txt"). Although the process can be programmed, this was done manually while processing the data for the manuscript. Data visualization: 6. Run "fig3.py" or "fig4.py" for representations of figures 3 and 4 in the manuscript, respectively. TROUBLESHOOTING - Any problems? Please search for your issue or open a new one on the software's GitHub repository: https://github.com/mcapllonch/SenseBackSim/issues