A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex
Five-fold cross-validation was used to quantify the accuracy of the CC, DN, CSS, and SOC models. Vertical bars indicate the median accuracy across voxels in a given visual field map. Solid horizontal lines indicate the maximum possible performance given the noise in the data, and dotted horizontal lines indicate the performance of a control model that simply predicts the same response for every stimulus. The numbers at the top indicate the median performance of the SOC model, expressed in terms of explainable variance (see Methods). Within each visual field map, all pairwise differences between models are statistically significant (p<0.05, two-tailed sign test) with the exception of DN vs. CSS in V2.