Core neuron support?
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
Start with the report modules and the simulator execution path described in the issue, comparing h.run with ParallelContext.psolve. Check how NEURON 9.0-generated C++ mod files are handled and reproduce the zero-valued reports with CoreNeuron. Done means CoreNeuron runs a BMTK model and the report modules record nonzero results correctly.
Written by the indexing model from the issue text.
Description
I was wondering if BMTK has the intention to support the core neuron simulator. It is supposed to speed up neuron simulation quite significantly. I have been working on implementing support for running with core neuron and have the simulation running, but I have not yet got the report modules to record correctly. When running the simulation only zeros get recorded to the reports.
The big difference is that instead of using h.run to run the model you instead you ParallelContext.psolve to run the model. Core neuron is also written using neuron 9.0 which converts mod files to cpp code instead of c code. I have been able to run and record a BMTK model using neuron 9.0 so I don't believe that will be an issue. Most models should be compatible with running with core neuron with only a few mod files needing to be updated to support neuron 9.0.
- Dominant language
- Python
- Stars
- 339
- Forks
- 103
- Avg merge
- 2h 7m
- Merged PRs (30d)
- 14
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