For now, the figure will show that for the same firing frequency, the mean of Na and KDR Gbar is different.
And, if you incorporate Na_P, we get firing bistatbility in models with high DBL but not in models with no DBL

activemodels_1compt.json
activemodels_1compt_old.json
activemodels_imp.json
activemodels_imp_old.json
activemodels_pas.json
activemodels_pas_old.json
These are models made for comparing Gbars among the three model types. filteractivemodel.py is used for filtering out invalid models. All the models are in _old files and after filtering, the _old suffix is removed.

activemodels.json
activemodels_bis.json
These are models made for the Bistability hypothesis

CaL
CaN
CaR
CaT
These are folders where the Ca concentration data is stored when Ca channels are incorporated into the valid models. There is an extra criterion on the AP height in these models.