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)[source]¶
Implement the Glover HRF model.
- Parameters:
- t_rfloat
Repetition time, in seconds (sampling period).
- tr:
Deprecated since version 0.11.0: Use
t_rinstead (see above).- oversamplingint, default=50
Temporal oversampling factor.
- time_lengthfloat, default=32
HRF kernel length, in seconds.
- onsetfloat, default=0
Onset of the response.
- Returns:
- hrfarray of shape(length / t_r * oversampling, dtype=float)
HRF sampling on the oversampled time grid.