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.glover_hrf

nilearn.glm.first_level.glover_hrf(t_r, oversampling=50, time_length=32.0, onset=0.0)

Implement the Glover HRF model.

Parameters:

t_rfloat

Repetition time, in seconds (sampling period).

tr:

Deprecated since version 0.11.0: Use t_r instead (see above).

oversamplingint, default=50

Temporal oversampling factor.

time_lengthfloat, default=32.0

HRF kernel length, in seconds.

onsetfloat, default=0.0

Onset of the response.

Returns:

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

HRF sampling on the oversampled time grid.