Nihan Alp

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

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.

The paper investigates how symmetry type and texture regularity affect visual search efficiency using a lattice-based paradigm.

The paper shows that frequency components in EEG signals can arise from retinotopic signal strength variations, not from neural sensitivity to modulated stimuli.