Nengo 2.1.1 released

The Nengo team is glad to announce the release of Nengo 2.1.1.

What is Nengo?

Nengo is a Python library for building and simulating large-scale neural models for AI and robotics. It can be thought of as a neural compiler, transforming a functional description of a neural model to a network of spiking or non-spiking neurons that can run on multiple backends including GPUs and neuromorphic hardware.

What’s new?

Nengo 2.1.1 changes how the default LIF neuron model decides when the spike. It should now be closer to the behavior of the LIFRate model, which is used to determine decoding weights, meaning that the new LIF model is more accurate than the previous model. However, the previous model is slightly faster, so we have made it available as nengo_extras.FastLIF.

This release also fixes several bugs. To see the full list of changes, head to the Github release page.

How do I get it?

To get the new version of Nengo, use pip.

pip install --upgrade nengo

Where can I learn more?