Andrew Gait

> The first case where it loses packets is expected if the receiver core is overloaded, and from the messages, it is. It doesn't seem related to delay extension overload...

Again I think I'm correct in saying that this issue has been dealt with in recent work.

There's now the AbstractAcceptsIncomingSynapses type, which I guess partly solves the issue here (e.g the application vertices in SpiNNGym all use it, but stop short of using the synaptic manager...

So as far as I can see, the partitioner only takes into account DTCM usage related to the neuron model components and the neuron recorder. There seems to have been...

Just having a look at this issue again since there have been a few updates since we last looked at it. It appears now as though we can go to...

The hard-coded set of defines in C exactly matches the order of the hard-coded list in Python... I’m not sure that adding an extra layer to this on the off-chance...

By "different parameters", do you mean having (for example) a randomly distributed value for timing rule / weight rule parameters per synapse? Or values across different sets of synapses between...

It’s probably best if we make it optional - there are as Donal says a number of issues with installing matplotlib in OSX that are best avoided unless the user...

@Christian-B was this dealt with fully in https://github.com/SpiNNakerManchester/sPyNNaker/pull/678 ?

Has this been fixed? I haven’t run many STDP simulations compared to other types, but I haven’t noticed this being a problem...