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Key publications
Berezutskaya, J., Freudenburg, Z. V., Vansteensel, M. J., Aarnoutse, E. J., Ramsey, N. F., & van Gerven, M. A. J. (2023). Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models. Journal of Neural Engineering, 20(5). https://doi.org/10.1088/1741-2552/ACE8BE,
Crell, M. R., & Müller-Putz, G. (2024a). Detection of motion termination from EEG during the execution of continuous hand movement. 139–144. https://doi.org/10.3217/978-3-99161-014-4-025
Crell, M. R., & Müller-Putz, G. R. (2024b). Handwritten character classification from EEG through continuous kinematic decoding. Computers in Biology and Medicine, 182, 109132. https://doi.org/10.1016/J.COMPBIOMED.2024.109132
Egger, J., Kostoglou, K., & Müller-Putz, G. (2024). Investigating temporal variations in MRCPs and their influence on classification: A 10-hour EEG study. 5–10. https://doi.org/10.3217/978-3-99161-014-4-002
Kostoglou, K., & Muller-Putz, G. R. (2024). Motor-Related EEG Analysis Using a Pole Tracking Approach. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 3837–3847. https://doi.org/10.1109/TNSRE.2024.3483294
Müller-Putz, G., Crell, M., Egger, J., Suwandjieff, P., & Kostoglou, K. (2023). Towards Implantable Brain-Computer Interface for Communication in Locked-In Syndrome patients An introduction to INTRECOM. Current Directions in Biomedical Engineering, 9(2), 1–4.
Suwandjieff, P., & Müller-Putz, G. (2024a). From cue-based to self-paced movement detection: Influence of the cue on training data. 9th Graz Brain-Computer Interface Conference, 538–543. https://tugraz.elsevierpure.com/en/publications/from-cue-based-to-self-paced-movement-detection-influence-of-the–2
Suwandjieff, P., & Müller-Putz, G. R. (2024b). EEG Analyses of visual cue effects on executed movements. Journal of Neuroscience Methods, 410, 110241. ttps://doi.org/10.1016/J.JNEUMETH.2024.110241
Offenberg, E. C., Berezutskaya, J., Freudenburg, Z. V, & Ramsey, N. (2024). High-Performance Neural Dedcoding Of 14 Dutch Keywords. https://doi.org/10.3217/978-3-99161-014-4-011
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