Daniel Rasmussen

It's still on the list of things we want to implement, but we haven't had a chance to take a stab at it yet. To make the workaround Trevor suggested...

Result of internal discussion: While this would be nice to support, it's difficult because we don't know which parts of the model will be on or off chip until after...

Hi @Rwik2000. We don't want to assume that the initial state will be on the GPU, as that would cause errors for people running on CPU. You can opt-in to...

We would expect a loss of accuracy when directly translating a nengo model to nengo-loihi. The Loihi hardware (and emulator) works with a lot more constraints than a standard, floating-point...

We don't have any plans for that currently, but we would certainly welcome PRs. You may also be interested in [NengoDL](https://github.com/nengo/nengo-dl), which has support for many more neuron types (but...

Actually it looks like you can still click on the buttons (if you know where they should be), they just aren't being displayed.

Does this happen for small populations (like 10 neurons)? It could just be that it is trying to draw hundreds of voltage lines, and collapsing under the stress.

This should work, although I've never really used the Izhikevich neurons much. You can play around with the parameters of the neuron by passing arguments to the `IzhikevichSpikeGenerator` constructor. ```...

If you add this line to your code ``` python for n in ens.getNodes(): n.setGenerator(IzhikevichSpikeGenerator()) ens.redefineNodes(ens.getNodes()) #

The usual way to add probes is via ``` python myNetwork.simulator.addProbe("ens", "rate", True) ``` See if that works for you.