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_time_derivative¶

nilearn.glm.first_level.spm_time_derivative(t_r, oversampling=50, time_length=32.0, onset=0.0)[source]¶

Implement the SPM time derivative HRF (dhrf) 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 in seconds.

Returns:

dhrfarray of shape(length / t_r, dtype=float): dhrf sampling on the provided grid