Synergy plasticity PID

This repo houses code for the Partial Information Decomposition (PID) analysis of a simulated neuronal plasticity model.

How to use

1. Run 'learning' and 'step_input' simulations from this repo to generate spiking data.
2. Create a new folder from the working directory of this repo called 'files', and copy in the 'spiking_data' folder from the simulation repo so that the path to the data is: synergy_plasticity_pid/files/spiking_data.
3. Run synergy_plasticity_pid/scripts/generate_pid.py to perform PID analysis.
4. Run synergy_plasticity_pid/scripts/generate_surrogates.py to get surrogate dataset which is used to test significance (takes a long time to run).
5. Run synergy_plasticity_pid/scripts/create_figures.py to get the results figures used in the paper.