GSoC tasks 1

[sanjayankur31]

• make a markdown document with table listing cells
• choose a cell to convert
• implement a direct NetPyNE JSON -> NeuroML converter (use libNeuroML for creating NeuroML, not etree: https://libneuroml.readthedocs.io/en/development/userdocs/Cells_list.html#cell )
• convert biophysics (mod files if required. tip: always search https://github.com/OpenSourceBrain/ before starting a conversion because a lot of models re-use existing mod files, and we may have already converted them for another model)
• validated all ion channels individually
• complete NeuroML cell conversion script to include biophysics
• write a script to create a single cell network using the NeuroML cell conversion with a range of de- and hyper-polarising step currents to record membrane potentials
• write a script to create a single cell network using the NetPyNE cell with the same de- and hyper-polarising step currents to record membrane potentials
• compare the two: they should match exactly
• create OMV tests for the cell

[sanjayankur31]

@HengyeZhu : please let us know if anything here is unclear

[sanjayankur31]

https://github.com/OpenSourceBrain/Macaque_auditory_thalamocortical_model_data/tree/feat-neuroml-gsoc -> we'll use the feat-neuroml-gsoc branch for all our work (feel free to create new branches off it if you'd like etc.)

[sanjayankur31]

Note: there's already an export for NetPyNE -> NeuroML:

http://doc.netpyne.org/netpyne.conversion.neuromlFormat.html#netpyne.conversion.neuromlFormat.exportNeuroML2