A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex
(A) Schematic of models. Six variants of the SOC model were tested. Text annotations indicate modifications to model components (see Methods for details). (B) Cross-validation accuracy. Format same as in Figure 6 except that accuracy is now expressed in terms of explainable variance (the CC model is omitted as it falls outside the visible range). No model outperforms the SOC model. The RM2 model—which is a variant of the SOC model that omits the Divisive normalization component—performs about as well as the SOC model. This can be explained by the fact that there is some degree of overlap in functionality between the Divisive normalization and Compressive nonlinearity components of the SOC model.