Daniel Rasmussen

Relates to https://github.com/nengo/nengo/issues/1517

`dimensions=None` might be a bit more semantically clear (I'd read that as "this ensemble doesn't have a state-space representation", as opposed to "this ensemble has a state-space representation with 0...

Ran into this same issue for a different reason in NengoDL, which I fixed like this https://github.com/nengo/nengo-dl/blob/fbf57c612668bfcc231788b0ed5dccd22695e271/nengo_dl/tensor_graph.py#L701. Should probably be able to do something similar.

You can find a full changelog here: https://github.com/nengo/nengo/blob/master/CHANGES.rst

`run_nengo` isn't a nengo module, that is something in your own code.

Might be nice to have a general feature that would print out some summary stats about a model (similar to Keras' `model.summary()`)

As a semi-related point, this change introduced a new feature to the builder, in that it was the only case where we sliced a signal on an axis > 0....

Yeah I'd be interested in seeing the benchmarking, to see how this compares to LIF/FastLIF. I think this is very cool and definitely something we want available either way, just...

This has come up a few different places recently, we should add some better validation for Distributions in general (e.g. sample something from the dist and check the shape in...

It'd be relatively easy to figure out what the optimal activities are for a population, for a given target output (and given decoders). However, if you just set the output...