vic-fear-learning-physio

Code for replicating analysis from our vicarious fear learning study. Preprint on biorXiv.

Pipeline

• cp emocon_config.ini.example emocon_config.ini and edit paths
• run load_data.py to extract from acq into numpy arrays (time consuming due to marker detection!)
• run emg_master.py and eda_master.py for trial scoring
• run collect_scores.py to create long tables with trial scores
• run wrangle_table to create tables with summary scores for statistical analysis
• use Publication_Plots.ipynb notebook to produce plots

Acknowledgements

Repository includes a copy of cvxEDA.py, taken from https://github.com/lciti/cvxEDA (GPL-3.0).

Requirements

The analysis can be reproduced using libraries listed in the requirements file, using python 3.7.5.

Notes

To use ipython with a virtual environment, add a kernel. Full instructions here. In short:

(venv) $ pip install ipykernel
(venv) $ ipython kernel install --user --name=projectname