Emergence of Emotion Selectivity in A Deep Neural Network Trained to Recognize Visual Objects.

A convolutional neural network (CNN) model of the human ventral visual cortex shows that artificial neurons respond selectively to emotional images, supporting the idea of an innate ability to represent affective significance of visual input.