Closed rgerkin closed 9 years ago
Here you go:
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...)
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.
Could someone post a screenshot of the jNeuroML output window (the voltage trace) at the end of section 2.1 of the README? I have an output which is... boring, and I think probably not right.