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• Create unit test on the full muscle model that reproduces Figure 1A from Liu, Hollopeter, & Jorgensen 2009

  This milestone is complete when: - [ ] Define parameters for simulated experiment using jNeuroML on the command line, based on the methods that went into the figure - [ ] Digitize [the figure](https://cloud.githubusercontent.com/assets/1037756/5794291/6018d61e-9f1c-11e4-9468-df75e1ba48dd.png) - [ ] Write a script that takes the digitized figure and the simulation output and calculates the error/difference - [ ] Write a script that generates an overlaid image of the simulated and digitized data - [ ] Turn the error-generating script into a SciUnit test - [ ] Integrate the test in the test suite being run on TravisCI

  No due date

  •1/6 issues closed
  16% complete5 open1 closed

• Adapt validation framework from PyOpenWorm and ChannelWorm to the muscle model

  This milestone is complete when the following are in place: - [ ] doctests (examples in the README exist and are being tested) - [ ] nosetests (all tests are run with nose rather than the unittest framework including those under TravisCI) - [ ] SciUnit validation (two tests of connectivity are implemented and incorporated into the test suite using SciUnit) - [ ] tests are documented (docstrings for every test class exist)

  No due date

  •3/10 issues closed
  30% complete7 open3 closed