ngc-museum is a public repository for
ngc-learn that
houses biomimetic, brain-inspired computing, and computational
neuroscience / biophysics models proposed throughout history. All models in
this repo, whether contributed by community, other groups, or the
ngc-learn dev team, are written in Python using ngc-learn (and JAX). Each
model in the exhibits/ directory or collection of models in the exhibitors/
sub-directories contain README top-level files that explain their central
properties and general organization of the sub-directory they are found within,
including model/agent simulation instructions, problem task descriptions, as well
as relevant hyper-parameter values need to reproduce experimental results.
For official walkthroughs going over the model exhibits found in this repo, please visit the ngc-learn documentation page: https://ngc-learn.readthedocs.io/ (under the "Model Museum" side-bar). For information, including anything related to usage instructions and details related to ngc-learn itself, please refer to the official ngc-learn repo (and its documentation).
For those contributing models/algorithms in either the exhibitors/ or
exhibits/ directories, please send us an email if
you are interested in writing your own walkthrough for us to
include and integrate related to a particular model exhibit that you are
working on in the official ngc-learn documentation as we warmly welcome
the community to contribute to ngc-museum, as it is these contributions
that help ensure various models of biomimetic inference/learning and
brain-inspired computing see application as well as inspire future lines of
scientific inquiry.
Current Models in the Museum:
- Discriminative Predictive Coding: Model, Walkthrough
- Spiking neural network, trained with broadcast feedback alignment: Model, Walkthrough
- Diehl and Cook spiking network, trained with spike-timing-dependent plasticity: Model, Walkthrough
This package is distributed under the 3-Clause BSD license.
It is currently maintained by the
Neural Adaptive Computing
(NAC) laboratory.