Progressing from Counting to Addition

Code for the paper "Improving with Practice: A Neural Model of Mathematical Development" and the eponymous paper in TopiCS. Presentation slides for the CogSci2016 talk can be found here. The Latex source code for the paper can be viewed on Overleaf.

Requirements

Python is required to run these scripts. The scripts were written in Python 2, but should work in Python 3. The Python packages required can be installed with pip install -r requirements.txt.

The specific version of the Nengo Python package was ceaf387.

Running the networks

• with_feedback.py is the final full-network version
• counting_only.py uses only the counting network
• better_pred_run.py generates the data from the prediction in the paper
• hetmem_learning.py and autoens_learning.py generate the data for the comparison of learning with and without Voja

Analysis

All analysis was performed in Jupyter notebooks, which end with the file extension ipynb. These can be opened by running jupyter notebook BLAH.ipynb where BLAH.ipynb is the name of the notebook you desire to view. However, at this time, all the files required to duplicate the analysis seen in the paper are not currently available, due to some bad backing up on my part. I'm currently working on retrieving the files from my old desktop.

To-do, so I can be the real Open Science hero I dream of:

• Clean up the data files and acquire missing files
• Clean up the creation of the data files and logs
• Make applicable scripts compatible with the Nengo version of PyTry, instead of commenting out chunks of code whenever they are run in Nengo GUI.