Using and extending plasticity rules in Nengo

Tech Report, 2010

Trevor Bekolay

Abstract

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 signifcantly. This report is intended to explain how plasticity rules are implemented since that revision, and provide examples of how to use and extend the plasticity rules currently implemented.

Full text links

PDF

CTN Tech Report

Issn
CTN-TR-20100910-008
Address
Waterloo, ON
Month
09/2010
Institution
Centre for Theoretical Neuroscience

Cite

Plain text

BibTeX