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[MODEL] Implement Cholinergic neurons #27

@ShravanTata

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@ShravanTata

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  • the sum is just the sum of all weighted V0C inputs
  • a is the dynamic variable
  • tau the time constant
  • f_bar is the new output function that still uses the old one
  • should be f_bar(V,a)
  • we probably should add a weight to it just in case
  • f_bar(V,a)=clip(f(v)(1+wa),0,1)
  • tau should be a few milliseconds, e.g. 5
  • w (maybe not the best letter) =1
  • a integrates the V0C input but now has a time constant. it's pretty much a low pass filter of the signal of the sum of V0c inputs.
  • so a is 0 when there is no input or some positive number when there is input.
  • we use a to amplify the output. So if a>0 we multiply the output by 1+a.
  • if the neuron isn't active a doesn't have an effect

the idea is that cholinergic inputs modulate neural firing, i.e. increase the firing rate

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