NEST-pong¶
This program simultaneously trains two networks of spiking neurons to play the classic game of Pong.
Requirements¶
NEST 3.3 or later
NumPy
Matplotlib
Instructions¶
To start training between two networks with R-STDP plasticity, run
the run_simulations.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; this requires the imageio package.
Classes for running simulations of the classic game Pong
Application to train networks to play pong against each other
