Nikolina Vukšić

The paper compares human behavior, fMRI data, and DNN activations to show that the human brain represents locomotive action affordances independently of other visual features, and that standard DNNs do not capture this representation well.

This study shows that temporal adaptation improves sensory representations and identifies neural computations, like divisive normalization, that mediate these benefits in human visual object recognition.