Comments (5)
Update: this is connected to the fact that the WC model uses heterogeneous paramters, e.g. a vector params.exc_ext
instead of a scalar params.exc_ext
which all other models use. This is of course nice but not coherent with the rest which is why I will sete params.exc_ext
to 0
and convert params.exc_ext
to a scalar.
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Update: Found this formula in S
of the WC
model that also looks fishy
* S_I(c_excinh * excs[no, i - 1] # input from the excitatory population
- c_inhinh * inhs[no, i - 1] # input from within the inhibitory population
+ exc_input_d[no] # input from other nodes
+ inh_ext) # external input
I think + exc_input_d[no]
should not be inside S_I()
, correct @ChristophMetzner?
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Yes, you're right. + exc_input_d[no]
should not be inside S_I()
only inside S_E()
.
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Thanks for confirming, will fix.
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Regarding the asymmetry mentioned above. I honestly do not remember why I put that in there. So go ahead and change that too
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