Fig. 7. Category centroids are highly consistent across network instances.

a Centroid-based representational consistency (green) remains comparably high throughout, whereas the consistency of within-category distances decreases significantly with increasing network depth (error bars indicate 95% confidence intervals, average data shown, computed from 45 network comparisons across 10 network instances). This indicates that differences in the arrangement of individual category exemplars, rather than large-scale differences between class centroids are the main contributor to the observed individual differences. b High centroid-based representational consistency cannot be explained by the smaller RDMs or the averaging of multiple response patterns, as centroids of randomly sampled classes show a significantly lower mean consistency (95% CI in the light gray background).