pyeeg.simulate.CTRNN.step

CTRNN.step(I=None, noise=0.0)

Compute one step of the CTRNN model.

Parameters:

• I (float or array_like, optional) – The external input. A scalar is broadcast to all input dimensions, an array must have shape (input_dim,). If None, a zero input is used.

• noise (array_like or float) – The additive noise applied to the state. Typically an array of shape (N,) scaled by sqrt(dt), but any broadcastable value is accepted.