Haluk Öğmen

This study uses persistent homology to extract topological features from eye movement data for screening dyslexia and ADHD, showing promising results with a simple classifier.

This study investigates cortical dynamics during contour integration by varying contour onset-time and fidelity using EEG, revealing temporal patterns linked to attentional processing.

This study uses transfer learning with CNNs trained on brain tumor MRI data and camouflage animal detection to improve tumor classification accuracy and model generalization.

The paper investigates the brain's ability to perceive rigidity in 3D and 4D spaces using virtual reality, finding comparable performance in distinguishing rigid and non-rigid motion between cubes and tesseracts.