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(tr, oversampling=50, time_length=32.0, onset=0.0)

Implement the SPM time derivative HRF (dhrf) 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

Onset of the response in seconds.

Returns:

dhrfarray of shape(length / tr, dtype=float)

dhrf sampling on the provided grid