408f12dec2ff56559a26873a848a09e4c8facfeb,brainiak/isc.py,,isc,#Any#Any#Any#Any#,76

Before Change

        elif pairwise:
            iscs = squareform(np.corrcoef(voxel_data), checks=False)
        elif not pairwise:
            iscs = np.array([pearsonr(subject,
                                      mean(np.delete(voxel_data,
                                                     s, axis=0),
                                           axis=0))[0]

After Change

    if n_subjects == 2:

        // Compute correlation for each corresponding voxel
        iscs_stack = array_correlation(data[..., 0],
                                       data[..., 1])[np.newaxis, :]

    // Compute pairwise ISCs using voxel loop and corrcoef for speed

Instances