Bilge Sayim

Compression of redundant visual information improves feature discrimination in human vision

The paper shows that redundancy masking in peripheral vision reduces perceived item count but improves feature discrimination, suggesting efficient compression of redundant visual information.

Redundancy masking and the compression of information in the brain

This study investigates redundancy masking in visual perception using SSVEP, finding that masked items are not fully suppressed but integrated with neighboring elements in neural signals.

Capsule Networks as Recurrent Models of Grouping and Segmentation

The paper shows that Capsule Neural Networks (CapsNets) with recurrent grouping and segmentation outperform feedforward and standard recurrent CNNs in modeling human global shape processing using visual crowding.