Note

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nilearn.glm.first_level.glover_dispersion_derivative

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

Implement the Glover dispersion derivative HRF model.

Parameters:

t_rfloat

Repetition time, in seconds (sampling period).

oversamplingint, default=50

Temporal oversampling factor in seconds.

tr:

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

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 * oversampling), dtype=float

dhrf sampling on the oversampled time grid