What would it take to replay a specific pattern of activity into certain c302 neurons during a simulation run?
Along the lines of reproducing some neuronal activity data; I'm interested in what infrastructural pieces we would need if given a raster like the following as input and trying to hold certain cells to have calcium levels in a time-varying way and then see how the other neurons passively respond?

cc: @pgleeson
@slarson Technically you could use the c302 generated python Neuron code (as is used for sibernetic interactions) and play a single time step, adjust the properties of some cells (e.g. amplitude of a current clamp), and then run the simulation again. The cells you're forcing will be determined by you and you can look at what the rest of the cells do.
The big question is then how do you force the cells to have a certain calcium level? It's fine to inject a varying current when you want a target voltage (i.e. voltage clamp) but [Ca2+] would be trickier; the relationship is highly non linear...