This is the code used to generate the results from Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. It runs on Python 3.9. To install, run the following in the repo folder:
conda env create -f conda.yml
conda activate cpcn
pip install .
You can instead use
pip install -e .
to create an editable install – useful for development.
The submit_task_*
scripts in draft/hyper
run the hyperoptimizations. These are written for the
Flatiron Institute's SLURM system, and use disBatch.
This is equivalent to running each line of the corresponding task_file_*.db
.
After the hyperoptimization runs are completed, similar submit_task_*
scripts are available in
draft/simulations
. These generate the data needed for making the figures.
Figures are generated using the various make_*_figures_*.py
scripts in draft
. Some exploratory
code can be found in sandbox
.