Richard C Gerkin

Results 98 comments of Richard C Gerkin

Currently neuronunit is giving each processor its own copy of the root NML/LEMS file so that it may rewrite it as needed for certain tasks. This is important when simulations...

The above issues are now solved and I have a prototype shown [here](https://github.com/openworm/CElegansNeuroML/blob/sciunit/CElegans/pythonScripts/c302/notebooks/RunMuscleModel-SciUnit.ipynb). This just demonstrates wrapping the model with a SciUnit Model class and getting the c302 simulation to...

@slarson Is the data in the figure in the "Figures are here" link in your first comment on this issue available in digitized form anywhere? Panel C is easy enough...

@slarson [Here](https://github.com/openworm/CElegansNeuroML/blob/sciunit/CElegans/pythonScripts/c302/notebooks/RunMuscleModel-SciUnit.ipynb) I have the muscle model being tested (against a suite of two tests) in SciUnit. I can add more tests from the table in panel C of the...

@slarson @pgleeson Is there an existing procedure for regenerating the LEMS file (LEMS_NeuronMuscle.xml) with the desired parameters, other than simply editing the file, by analogy to NMLChannelAnalyse for the channel...

At the timescales we are interested in, is there any evidence that the ChR2 state transitions are important for predicting the membrane potential time course? I don't want to ignore...

@VahidGh @pgleeson Is the data [here](https://github.com/openworm/muscle_model/tree/master/BoyleCohen2008/data) the experimental data from Fig 3A,B or the simulated data from Fig 3C,D?

@travs I've started this [here](https://github.com/openworm/muscle_model/blob/master/tests/SCU_BoyleCohen.ipynb). The first part looks more or less like what we have in ChannelWorm, except instead of loading it from the database I am loading it...

@VahidGh "Yes" it is experimental data or "Yes" it is simulated data? Thanks for the link.

We were never ever able to produce a minimal example -- the error would arise stochastically under identical conditions. It could be architecture dependent. Feel free to close this issue.