Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Our study applied computational methods to distinguish the representations of objects’ perceived real-world size, retinal size, and inferred real-world depth features in both human brains and ANNs. Consistent with prior studies reporting…