Andrew Rowley

Happy to update this if it helps make it get in to the main branch and a future release. Do you know: 1. What exceptions can come out of this...

Happy for that idea instead; anything to make it work is good!

Thanks @SamsRM for approving this, but note that #1086 does more than this by adding an option rather than making it required... Still happy to use this version if preferred...

Master also now merged in here

Nope; I don't think anyone is looking at these PRs!

Weight changes that have not yet happened because the processing is deferred until a pre-spike is received could be processed at the end of simulation. This could be slow, but...

OK, so the reason for this is because every incoming Projection into a Population makes a fully independent matrix. We do this because we want to allow the reading back...

May want to wait until later depending on what happens with this: https://github.com/BlueBrain/MorphIO/issues/509

> The output is indeed the result of the operation and the formalization closely follows the parameters for the [PyTorch convolutions](https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html). Ah OK, good to know about the PyTorch documents...

> Does that address your questions? Yes generally thanks! Having done some work on the code, I am getting more of an idea how it all works. > Thank you...