Properties of the voxel groups systematically change as a function of layer assignment. A, Significant linear partial correlations between the predicted responses of each pair of voxel groups. Line widths are proportional to mean partial correlation coefficients across subjects. B, Distribution of the receptive field centers for both subjects. C, Example reconstructions of the internal representations of the convolutional layers. Reconstructions are enlarged, and automatic tone, contrast, and color enhancement are applied for visualization purposes. D, Proportions of the internal representations of the convolutional layers that are assigned to low-level (blob, contrast, and edge), mid-level (contour, shape, and texture), and high-level (irregular pattern, object part, and entire object) feature classes. E, Receptive field complexity (K), invariance, and size of the voxel groups.