pySPFM._solvers.debiasing.do_debias_spike

pySPFM._solvers.debiasing.do_debias_spike#

do_debias_spike(hrf, y, estimates_matrix, group=False, group_dist=3, non_negative=False)[source]#

Perform debiasing with the spike model.

Parameters:

  • hrf ((E x T) ndarray) – Matrix containing shifted HRFs in its columns. E stands for the number of volumes times the number of echo-times.

  • y ((T x 1) ndarray) – Array with fMRI data of a voxel provided to pySPFM.

  • estimates_matrix ((T x 1) ndarray) – Array containing the non-zero coefficients selected as neuronal-related.

  • group (bool, optional) – Whether to group the spikes or not, by default False

  • group_dist (int, optional) – Minimum number of TRs in between of the peaks found, by default 3

  • non_negative (bool, optional) – Whether to perform non-negative least squares or not, by default False

Returns:

  • beta_out (ndarray) – Debiased activity-inducing signal in a voxel.

  • fitts_out (ndarray) – Debiased activity-inducing signal convolved with the HRF in a voxel.

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