The Nengo team at ABR is happy to announce the release of Nengo Loihi 0.9.
What is Nengo Loihi?
Nengo Loihi is a backend for the Nengo neural simulator allowing standard spiking Nengo models to run on Intel’s new Loihi neuromorphic chip. Nengo Loihi includes an emulator so that you can develop spiking neuron models for Loihi without having access to hardware.
How do I use it?
Once installed, Nengo Loihi simulates Nengo networks. After defining your network, instead of simulating it with
nengo.Simulator(model)
do
nengo_loihi.Simulator(model)
and that’s it!
What’s new?
The biggest change in Nengo Loihi 0.9.0 is compatibility with the newly released Nengo 3.0.0, so please update if you want to access the new features in Nengo 3.0.0 on Loihi. The 0.9.0 release is compatible with NxSDK 0.8.5—releases compatible with newer NxSDK versions will come shortly.
Nengo Loihi 0.9.0 also adds support for the nengo.Sparse transform type and uses sparse transformations internally to build more efficient neuron-to-neuron connections. It also contains a few small bugfixes and new features; see the full list of changes for details.
How do I get it?
If you are using the emulator, then you can simply use pip.
pip install nengo-loihi
If you are setting up Nengo Loihi to use Loihi hardware for the first time, see the Nengo Loihi installation instructions.
Where can I learn more?
- Nengo Loihi documentation
- Instructions for installing Nengo and Nengo Loihi
- An introduction to Nengo
- General Nengo documentation
Where can I get help?
You’re already there! If you have any questions about Nengo Loihi, please ask in the Loihi category. And if you run in to any bugs or have suggestions for new features, file an issue through Github.