A maze-running mouse using the NuPIC cortial learning algorithm.
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README.md
config.py
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README.md

nupic-mouse

A maze-running mouse using the NuPIC cortial learning algorithm (CLA).

The code was written during the NuPIC Fall 2013 Hackathon in San Francisco, CA.

A demonstration of the project may be seen in the demo video.

The purpose of the project was to demonstrate how a hypothetical situation may be evaluated with a model. I characterized this as giving the CLA an imagination. A slow, prototype form of the idea is coded in learn/imagination.py. Look at mouse/mice.py (choose-best-move) for example usage. The gist is to provide a list of functions, each of which are applied to a copy of the original model to produce a prediction. The set of predictions (one per function) are returned.

Usage

Examine the main.py file to see the command-line arguments. Run either the 'dumb' or the 'smart' mouse with a few training and test iterations, as specified on the command-line.

Notable Changes

Since the demo, the main change is that the initial location within the maze is randomized.

TODO

  • Use a bigger, more interesting maze
  • Provide a visualization of the maze and the mouse's movement (perhaps using curses module)
  • Tweak the CLA model parameters