This directory contains the scripts for computer simulation 2
(with current-based synapses and no short-term plasticty) from
Legenstein R, Pecevski D, Maass W 2008 A Learning Theory
for Reward-Modulated Spike-Timing-Dependent Plasticity with
Application to Biofeedback. PLoS Computational Biology 4(10): e1000180, Oct, 2008
The produced result is supplementary figure 5.
To create these figures you need to:
1. The simulation performs 6 runs of the same experiment, possibly on different machines
in parallel. To change the names of the machines where the experiments should run, edit
the start_simulation.py file.
This is an executable file, you don't need to run 'python start_simulation.py'.
The program will create a new directory where the output files will reside.
Wait until the simulation finishes. You can monitor the simulations in the sim[0-5].out
files in the newly created directory.
3. Then, to create supplementary figure 5 run:
ipython -pylab create_figures_journal.py