Leon A. Gatys

The paper shows that real and model-generated images can be distinguished at V2 scaling, challenging the interpretation of Bouma’s Law in crowding.

This paper uses deep convolutional neural networks to predict spiking activity in primate V1 and finds they outperform traditional models.

The paper compares texture models using deep CNN features and finds that while CNN models perform well under foveal inspection, no model perfectly matches all textures across viewing conditions.