Closed ben18785 closed 5 months ago
Just some y=mx + c + sigma ?
@mirams Yes, some regression equation of the form,
y ~ N(alpha + beta x, sigma),
would definitely be worth including.
Do all models that we'll be considering have continuous parameters? I'm guessing so, but thought I'd check...
What's the simplest electrochemistry/electrophysiology models that exist? Can we test those?
Maybe the basic HH model? ("simplest electrophysiology model")
~There's simplified versions of that! I'll post one here tomorrow~
Just an open-closed one gate ion channel model would be a nice simple example.
@ben18785 This is based on the HH model:
I = g * n^4 * (V - E)
E = -80 [mV]
g = 50 [A/F]
dot(n) = a * (1 - n) - b * n
a = 0.01 * (-V - 65) / (exp((-V - 65) / 10) - 1)
b = 0.1 * exp((-V - 75) / 80)
You should see a current if you keep it at V=-80 for 1000ms and then jump to V=-40 for 1000ms (then back to -80, then -30, then -80, then -20, etc.)
@MichaelClerx That's great, thank you. Which of the parameters should I be trying to infer? Am guessing the 0.01 and 0.1 might be a good place to start?
Yeah those would be good! Initially you can vary anything except g
and E
. Not sure if adding g
makes it overdetermined, but think adding both g
and E
definitely should.
Is this still something we want to do?
@ben18785 @martinjrobins here's an old stan ticket
@ben18785 can we close this? It's still interesting, but it would just be a project that uses PINTS, not really an "issue" with PINTS or something that would require changes to its code or documentation
We should compare PINTS' outputs for its implemented samplers with those of Stan (or Pymc3) -- the current industry standard.
In the future of PINTS development, I think it's important that whatever samplers we implement in PINTS we do extensive testing of them. I think as a base this should include the following models,
Any other models that people can think of to test?