Hüseyin Boyacı

This study investigates how contour motion in dynamic line drawings conveys mechanical material properties, showing that line drawings convey similar material information as fully textured stimuli.

This study examines how expectations influence biological motion perception using point-light displays, finding that action-related cues significantly affect response times in specific conditions.

The paper investigates how spatial attention affects surround suppression in motion perception using psychophysics and fMRI, finding that wider attention increases suppression strength and that hMT+ activity predicts these effects.

This study uses fMRI to investigate how neural activity in V1 correlates with lightness induction in dynamic simultaneous lightness induction stimuli, finding no such correlation in extrastriate areas.

The paper shows that expectations about material properties influence perceptual decisions, even when those expectations are anomalous and learned during training.

This study shows the tilt aftereffect spreads across the visual field and suggests mid-level visual areas like V4 are involved.

This study examines how spatial attention affects surround suppression in visual motion processing and links findings to neuronal models and clinical disorders.

This paper proposes a recurrent neuronal model that explains how predictions influence sensory processing using behavioral and neuroimaging data.

The paper investigates how expectations affect low-level visual processing by measuring temporal thresholds and using a recursive Bayesian model to show that expectation violations increase thresholds when expectations are valid.

The paper investigates brain regions responsive to material motion using fMRI and introduces dynamic dot stimuli to study non-rigid material perception.

The paper investigates size aftereffect, showing that size adaptation affects not only the adapter location but also distant parts of visual space, indicating widespread distortion of perceived size.

The paper investigates surround modulation in V1 and hMT+ using motion perception tasks and finds distinct response patterns to grating size and contrast.

The paper introduces a data processing pipeline for MRI data to map structural connectivity in the human basal ganglia and thalamus, enabling detailed subcortical connectivity analysis.