Comments (2)
Note that this is after resizing some windows and selecting View -> Frame in the menus
Left top: conductances through channels at a series of voltage clamp holding potentials, generally showing the rapid opening & slow closing due to inactivation
Left bottom: currents through channel when reversal potential is set to -55mV
Middle top: membrane potential for the series of voltage clamp steps
Middle bottom 2 traces: tau for activation (p) & inactivation (q) - no voltage dependence & p<<q
Right traces: activation variable (p, top) i.e. with greater depolarisation there is a greater chance of the gate opening; inactivation variable (q, bottom) i.e. with greater depolarisation there is a lower chance of the gate opening; conductance of channel proportional to p^4 * q
(intro to channel modelling not for your benefit of course @rgerkin...)
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OK, good, those are what I what I am getting. I said "boring" before because I was looking at the unchanging gating variables but didn't see that the voltage was clamped. Thanks.
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Related Issues (20)
- Draft workflow outline for validation tests
- Write doctests for muscle_model HOT 16
- Write Pytest tests for muscle_model HOT 1
- Write SciUnit validation tests for muscle_model HOT 10
- Document muscle_model testing framework
- Digitize the figure mentioned in #31 HOT 7
- 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 HOT 1
- Turn the error-generating script into a SciUnit test
- Integrate the test in the test suite being run on TravisCI
- Add jneuroML to documentation here HOT 3
- Replace jnml in scripts with pynml? HOT 2
- The same conductance for different channels in nml files HOT 6
- Check for performance regressions in testing suite HOT 1
- Create tests to catch performance regressions in specific functions
- Write PyTest tests for basic command line runs HOT 12
- Delete or archive unused branches HOT 1
- Muscle Model Explorer - Error while loading channel files HOT 2
- Add to the readme to create a well cited and reasoned case for the ideal set of ion channels that should be in the muscle model HOT 8
- SciUnit test to reproduce additional muscle patch clamp data in the muscle model HOT 7
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