Fig. 2.

Classification of visual field position using VWFA responses. The classifier was trained using data from several regions of interest (ROI): V1/V2, VWFA, rVWFA, and Broca’s area. The “combined” region of interest is the union of voxels from VWFA and rVWFA. Classification accuracy was measured in individual subjects. When tested on data from untrained trials, the classifier performance is above chance for left vs. right (Upper) and upper vs. lower (Lower) visual field (VF) classification in all regions except Broca’s area. The short horizontal lines indicate the mean classifier performance within an ROI and across subjects. The dashed line indicates chance performance (50%), and the line with light shading indicates the significance level (P < 0.05) derived by a bootstrap procedure. In some sessions, because of the MR slice prescription, a Broca’s area ROI was not measured.