I’ve finally cleaned up the code that was sent to me, and I’ve uploaded it here.
In this folder, there are are two python files: stdp.py and example.py.
stdp.py is the python module containing the custom STDP learning rules. Two learning rules are included, an STDP learning rule, and a STDP triplet learning rule.
example.py is an example Nengo model demonstrating how to use the STDP learning rule in a simple 2 neuron network. See extending-nengo.zip for an example on how to use the triple STDP learning rule.
I’ve also included the original code that was sent to me (extending-nengo.zip). In this zip file, you will find more examples and analysis of the various STDP learning rules (including the triplet rule). Inside the zip file, Learning.ipynb contains a very detailed description of the derivation of the STDP learning rules.