Hanneke Scheppink
Third-party Funded Project "DONUT"
Faculty of Technology and Bionics
Research Associate
Contact
Telephone
+49 2821 80673 9650
Email
Location
Kleve Campus
Marie-Curie-Straße 1, 47533 Kleve
Contact in Faculty of Technology and Bionics
Location
Kleve Campus
Marie-Curie-Straße 1, 47533 Kleve
Profile
- Scheppink, H. A., Herpers, R., Thielen, J., & Volosyak, I. (2026). Beyond flickering: introducing code-modulated motion visual evoked potentials for brain-computer interfacing. Frontiers in Neuroergonomics, 7, 1884144. https://doi.org/10.3389/fnrgo.2026.1884144.
- Scheppink, H. A., Bialonski, S., Tangermann, M., Thielen, J., & Volosyak, I. (2026). Efficient Decoding of the Code-Modulated Motion Visual Evoked Potential (c-MVEP) for BCIs. In G. Müller-Putz, K. Kostoglou, M. E. Oberndorfer, & S. C. Wriessnegger (editors), Proceedings of the 10th Graz Brain-Computer Interface Conference 2026 (pp. 35–40). Verlag der Technischen Universität Graz. https://doi.org/10.3217/978-3-99161-093-9-007.
- Scheppink, H. A., Cantürk, A., & Volosyak, I. (2025). BCI with Intuitive Object Control Based on Code-Modulated Visual Evoked Potentials. In I. Rojas, G. Joya, & A. Catala (editors), Advances in Computational Intelligence. 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II (pp. 572–583). SPRINGER INTERNATIONAL PUBLISHING AG. https://doi.org/10.1007/978-3-032-02728-3_46.
- Scheppink, H. A., Del Carmen Cortés Navarro, M., & Volosyak, I. (2025). Steady-State Motion Visual Evoked Potentials with 3D Stimuli in a VR-Based BCI. In IEEE (editor), 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 7378–7383). IEEE. https://doi.org/10.1109/smc58881.2025.11343706.