Installation

To install Nengo extras, we recommend using pip.

pip install nengo-extras

Usage

Example notebooks can be found in the docs/examples directory.

For a listing of the contents of this repository, and information on how to use it, see the full documentation.

Development

To run the unit tests:

pytest nengo_extras [--plots]

To run the static checks:

.ci/static.sh run

To build the documentation:

sphinx-build docs docs/_build

0.5.0 (January 12, 2022)

Added

• Added NengoDL builders for NengoLoihi neuron types. These will automatically be used by the NengoLoihi repository if it is installed. (#94)

Fixed

• Updated to work with more recent versions of Nengo. (#94)

0.4.0 (November 15, 2019)

Added

• Added nengo_extras.simulators.RealTimeSimulator, which will ensure that simulations don’t run faster than real time. (#85, #151)

• Added nengo_extras.neurons.NumbaLIF, which is a numba-accelerated drop-in replacement for the nengo.LIF neuron model (requires numba to be installed). (#86)

Fixed

• Fixed some Nengo 3.0.0 compatibility issues. (#90)

0.3.0 (June 4, 2018)

Changed

• Submodules are no longer automatically imported into the nengo_extras namespace, as it can be difficult to install requirements for the various tools in Nengo Extras. (#77, #78)

0.2.0 (May 31, 2018)

Added

• Added the association matrix learning rule (AML) to learn associations from cue vectors to target vectors in a one-shot fashion without catastrophic forgetting. (#72)

• Added classes to convert Nengo models to GEXF for visualization with Gephi. (#54)

• Added a Camera process to stream images from a camera to Nengo. (#61)

0.1.0 (March 14, 2018)

Initial release of Nengo Extras! Tested with Nengo 2.7.0, but should work with earlier versions. If you run into any issues, please file a bug report.