[marmaduke]

Wow thanks for the great response. It's really interesting to read about (computer) network fundamentals rethought for neural systems.

> specialized pseudo-neurons that implement longer delays than that on cores that we set aside for the purpose (and which, because they only handle delays, are much easier to make scale)

I'm curious to hear more about that, as I don't recall hearing that previously. I'm a dev on the Virtual Brain, another simulator starting to be used in HBP (CDP8), for which we derive tract length info from human diffusion imaging and use it to introduce time delays. These can be up to 256 ms. On the other hand, we're usually running a few hundred neural masses (or some specialized datasets go up to 515k nodes). Are those numbers feasible with your delay-neurons?