Ron van de Klundert

This study shows that both human visual cortex and deep convolutional neural networks prioritize object background over category in object recognition tasks.

This paper tests if deep residual networks (ResNets) can capture recurrent processing in the human brain using EEG data from a visual masking task, finding deeper networks better explain brain activity.

This study shows that recurrent processing is critical for object recognition in complex scenes, as evidenced by behavioral, EEG, and deep learning results.