Turan A. Kayagil

National Institute of Neurological Disorders and Stroke

Papers

Total Citations

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About

Turan A. Kayagil is a researcher whose work lies at the intersection of biomedical engineering and brain-computer interfaces (BCIs), with a particular focus on non-invasive electroencephalography (EEG) systems. His most cited paper, "Binary EEG Control for Two-Dimensional Cursor Movement: An Online Approach" (2007, 14 citations), addresses a fundamental challenge in BCI technology: translating the inherently low signal-to-noise ratio and spatially blurred nature of EEG signals into precise, real-time control. Kayagil’s major contribution was developing an online method that enabled binary EEG control for two-dimensional cursor movement, demonstrating that even with noisy single-trial EEG data, users could achieve meaningful, continuous navigation. This work was notable for its practical, real-time implementation, moving beyond offline analysis to show that non-invasive BCIs could be viable for assistive technologies. While his citation count reflects a focused, early-career impact, his research laid important groundwork for subsequent advances in EEG-based communication and control systems, particularly for individuals with severe motor disabilities. Kayagil’s approach remains relevant for students and researchers exploring how to extract robust control signals from inherently noisy neural data.