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.

nilearn.glm.first_level.spm_hrf

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

Implement the SPM HRF model.

Parameters:

trfloat

Repetition time, in seconds (sampling period).

oversamplingint, default=50

Temporal oversampling factor.

time_lengthfloat, default=32

HRF kernel length, in seconds.

onsetfloat, default=0

HRF onset time, in seconds.

Returns:

hrfarray of shape(length / tr * oversampling, dtype=float)

HRF sampling on the oversampled time grid