Figure 8.

The effect of variance in the model assumptions on spatial deconvolution. We assessed the effect of two types of error: First, a systematic over‐ and underestimation of the extent of signal spread across cortical depth levels (represented by the red lines), and second, random error in the weighting factors used for spatial deconvolution (blue error shading represents the 0.5th and 99.5th percentile after applying random Gaussian noise to the deconvolution weighting factors over 10,000 iterations; see Section 2.2 for details). With increasing distance from the white matter, the spread of the distribution becomes larger, reflecting a greater effect of changes in the model parameters toward the cortical surface. However, the general shape and peak positions are not affected. For better visibility, only the data for one stimulus condition (75% luminance contrast) are shown [Color figure can be viewed at http://wileyonlinelibrary.com]