Figure 4.
top: Comparison of accuracy maps obtained with 6-fold cross-validation. Each row contains eight slices from an accuracy map, inferior to superior, top of each slice is posterior. The classifiers used in each row are single voxel GNB and radius 1 neighbourhood searchlight GNB, LDA and linear SVM. On top of each slice is the number of voxels for which accuracy was deemed significant using FDR q = 0.01, which are highlighted in dark red. bottom: Classifier weights for a linear SVM classifier trained on the entire image.