Learning in the form of synaptic plasticity is an essential part of any neural simulation software claiming to be biologically plausible. While plasticity has been a part of Nengo from the beginning, few simulations have been created to make full use of the plasticity mechanisms built into Nengo, and as a result, they have been under-maintained. Since SVN revision 985, the way plasticity is implemented in Nengo has changed significantly. This report is intended to explain how plasticity rules are imple- mented since that revision, and provide examples of how to use and extend the plasticity rules currently implemented.
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