AI-vision models have improved dramatically over the past decade. Yet these gains have led to neural networks that, though effective, don’t share many characteristics with human vision. For example, convolutional neural networks (CNN) are often better at noticing texture, while humans respond more strongly to shapes.A paper recently published in Nature Human Behaviour has partially addressed that gap. It describes a novel All-Topographic Neural Network (All-TNN) that, when trained on natural ima...