pySPFM._solvers.debiasing.do_debias_block

pySPFM._solvers.debiasing.do_debias_block#

do_debias_block(hrf, y, estimates_matrix, dist=2)[source]#

Perform debiasing with the block 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) – Matrix with fMRI data provided to pySPFM in a voxel.

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

  • dist (int, optional) – Minimum number of TRs in between of the peaks found, by default 2

Returns:

beta_out (ndarray) – Debiased activity-inducing signal obtained from estimated innovation signal in a voxel.

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