Summary of main results
| ROI | Decoding accuracy | Error correlation | Image similarity correlation | Inversion effect |
|---|---|---|---|---|
| V1 | 26%* | 0.21 | 0.46** | 0% |
| FFA | 22% | 0.10 | 0.03 | 2% |
| LOC | 24%* | 0.42* | −0.22 | 3% |
| RSC | 27%* | 0.34† | −0.24 | 2% |
| PPA | 31%** | 0.57** | −0.07 | 7%* |
Decoding accuracy is measured in percentage of blocks predicted correctly, and significance is assessed relative to chance (17%). Error correlation establishes a correlation between misclassifications (off-diagonal entries in the confusion matrices) (Figs. 2, 3) between decoding from ROIs and human behavior. Image similarity correlation correlates the image similarities matrix with the confusion matrix from fMRI decoding. The inversion effect is defined as the difference in accuracy of a decoder trained and tested with upright versus trained and tested with inverted scene presentations. PPA shows significant effects in all analyses except for the image similarity correlation.
↵*p < 0.05;
↵**p < 0.01;
↵†p = 0.069.