Closed jConquest closed 4 years ago
The goal is that someone who wants to create a large simulation can define a pattern of neuron types and probed neurons for a small grid, and then resize/repeat it N by M times to make a much larger grid of neurons.
I've been looking into it, and the resizing works pretty well. For example, a 5x5 with a certain pattern repeats well (4 times, as it should) when scaled to 10x10. The resizing is only questionable when the factors to scale by don't match up properly. Am I missing something?
Is this something we should catch in the user input if it doesn't scale properly?
Yellow is caused when neurons set up to be multiple things
This does not make sense to have an excited and inhibited neuron set as the same, hence we should most likely prevent this from occuring
Please disregard the two previous, it is okay for them to be inhibitory and active
Is this good to close? I don't think we found any issue with this earlier
We can close this issue, and I will add an action item to the other NLEdit card to include a description of resizing in the documentation to be added
scaling method does not make sense, or needs more clarity