Murat Akçakaya

This study examines how attentional load affects intracortical brain-computer interface (iBCI) performance during dual-tasking, finding robust performance but individual variability.

This paper develops a machine-learning classifier using dynamic amplitude-modulated EFRs to detect cochlear neural degeneration in animals and humans, showing it can distinguish age groups without retraining.

This paper improves multimodal EEG-fTCD brain-computer interfaces using FBCSP and envelope features, achieving high classification accuracies for motor imagery and mental rotation tasks.