Feature and category decoding of foveal images was higher for correct compared with incorrect trials. A, The feature (gray scale vs. color: blue lines) and B, the category (e.g., animal vs. food: red lines) of foveal images are better identified for correct than incorrect trials in MEG data aligned to fixation onset on foveal images (10-fold cross-validation; [−250; +250] ms; area under the curve, AUC). C, The feature and D, the category of upcoming parafoveal images are only classified for the correct trials. The shaded areas reflect standard error of the mean (SEM). A cluster permutations approach was used to identify the significant temporal cluster. The colored horizontal lines denote the time window associated with the temporal clusters above the chance level (p < 0.01), and the black horizontal lines the temporal clusters where correct and incorrect trials were different (p < 0.05).