Figure 6.

The SVM classification results in Experiment 3. The y-axis shows the mean classification accuracy (%), and the dotted line marks the chance level of three-way classification (0.33). The bar graph represents the mean accuracy, and gray dots on top of the bar represent individual subject data. The star at the bottom of a bar indicates above-chance classification accuracy. The results for No-Glass-Wall (p < 0.01) and Glass-Wall conditions were replicated in all ROIs. Critically, the OPA showed above-chance classification for Curtain condition (p < 0.01), suggesting that the functional constraint of a boundary is crucial for the OPA. Consistent with previous experiments, other ROIs were not sensitive to the navigational distance; the PPA and RSC showed the chance-level classification in all conditions, whereas the EVC showed the above-chance classification in all conditions (all ps < 0.05). *P < 0.05; n.s. indicates not significant.