Fig. 6

MVPA classification results. The accuracy is summarized as box-whisker plots based on the SVM kernel type (linear or nonlinear), searchlight size (1-, 2-, or 3-voxel radius), and spatial smoothing kernel size (i.e., 0 or 4 mm). On the x-axis, “A” denotes the averaged beta map for three blocks as input, “B” denotes block-wise beta maps as input, “L” represents the linear kernel SVM, and “N” is the non-linear RBF kernel SVM. SM, smoothing kernel size; RADIUS, radius of the searchlight sphere