Semantic coding. A–D, Distribution of voxels showing semantic coding in the MTL. A, Proportion of all category-selective voxels. B, Proportion of SC-selective voxels. C, Proportion of MC-selective voxels. D, Percentage of SC voxels in all category-selective voxels. Each dot represents a participant. On each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles, the whiskers extend to the most extreme data points the algorithm considers to be not outliers, and the crosses denote the outliers. The colored asterisks for each subregion indicate a significantly above-chance (5%; dashed line) proportion of voxels using a two-tailed one-sample t test. The black asterisks between subregions indicate a significant difference in the proportion of category-selective voxels using a two-tailed paired t test. *P < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001. E, Summary of encoded object categories. The size of the text is proportional to the number of voxels that most prefer that object category. The lower shows the proportion of voxels that most prefer the object category. Error bars indicate SEM across participants. F, DOS index. The asterisks indicate a significant difference using a two-tailed paired t test. *P < 0.05 and **p < 0.01. G, Ordered average responses from the most- to the least-preferred category for each MTL subregion. Error bars indicate SEM across participants. H, Difference in response ratio between the most-preferred and second most-preferred categories.