Note

This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.

8.12.15.12. nilearn.glm.first_level.spm_hrf

nilearn.glm.first_level.spm_hrf(tr, oversampling=50, time_length=32.0, onset=0.0)

Implementation of the SPM hrf model

Parameters:

tr : float

scan repeat time, in seconds

oversampling : int, optional

temporal oversampling factor

time_length : float, optional

hrf kernel length, in seconds

onset : float, optional

hrf onset time, in seconds

Returns:

hrf: array of shape(length / tr * oversampling, dtype=float)

hrf sampling on the oversampled time grid