pyeeg.simulate.WilsonCowan.step

WilsonCowan.step(I=0.0, noise=0.0, P=None)

Advance the model by one integration step (Euler method).

Parameters:

• I (float) – The external (coupling) input to the excitatory population.

• noise (float) – The standard deviation of the additive noise, scaled by sqrt(dt) per sample.

• P (float, optional) – The external input to the excitatory population for this step. If None, the constant input set at construction is used.