Computational origins of shape perception
Fig 2
(a) To test whether our results generalize to realistic objects, we tested the models on objects with more complex features. (b) Untrained transformers had color-based representational spaces, as shown in the RDMs (left) and color/shape scores (right). (c) Trained transformers developed shape perception, grouping objects by shape rather than color. The exception was the smallest (1H) model, which developed partial shape perception. (d) t-SNE visualizations showed that untrained models group objects based on color, whereas (e) trained models group objects based on shape. These models were trained on the human adult data from Experiment 1. Error bars denote standard error for each model across the color cells and shape cells shown in Fig 1b, c.