This program simultaneously trains two networks of spiking neurons to play the classic game of Pong.
- NEST 3.3
- NumPy
- Matplotlib
To start training between two networks with R-STDP plasticity, run
the generate_gif.py script. By default, one of the networks will
be stimulated with Gaussian white noise, showing that this is necessary
for learning under this paradigm. In addition to R-STDP, a learning rule
based on the stdp_dopamine_synapse and temporal difference learning
is implemented, see networks.py for details.
The learning progress and resulting game can be visualized with the
generate_gif.py script.