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We are trying to produce a line graph summary of a graph like this one from Kato et al 2015:
Visually this may need to look like one of the low-dimensional projection graphs in the same paper.
Currently c302 generates similar rasters to the one above already here (single compartment) and here (multi-compartment).
We know that the parameters for both are essentially placeholders, with little verification yet done on them.
Given that we are targeting tap withdrawal as a behavior, it will make most sense for us to generate this graph based off of responses from Tap Withdrawal. This will mean:
Creating tap-withdrawal simulated inputs to key sensory neurons within the course of a simulation run
Running the simulation for dozens of seconds
Having done the work to tune parameters appropriately for both the tap withdrawal portion of the circuit, and for the motor neurons, at least.
This would demonstrate c302 activity during movement (during any of the behaviors) and compare to data from Kato et al. or similar recorded data
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