Prof. Dr. Claudia Voelcker-Rehage

Goelz, C., Reuter, E.-M., Fröhlich, S., Rudisch, J., Godde, B., Vieluf, S., & Voelcker-Rehage, C. (2023). Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan. Brain Informatics, 10(1). https://doi.org/10.1186/s40708-023-00190-y

Kopnarski, L., Lippert, L., Rudisch, J., & Voelcker-Rehage, C. (2023). Predicting object properties based on movement kinematics. Brain Informatics, 10(29). https://doi.org/10.1186/s40708-023-00209-4

Kopnarski, L., Rudisch, J., Potts, D., Voelcker-Rehage, C., & Lippert, L. (2023). (in press). Predicting Object Weights from Giver’s Kinematics in Handover Actions. In B. Meyer, U. Thomas, & O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies (Vol. 1). Springer.

Kopnarski, L., Rudisch, J., & Voelcker-Rehage, C. (2023). A systematic review of handover actions in human dyads. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1147296

Kutz, D. F., Fröhlich, S., Rudisch, J., Müller, K., & Voelcker-Rehage, C. (2023). Sex-dependent performance differences in curvilinear aiming arm movements in octogenarians. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-36889-5

Rudisch, J., Fröhlich, S., Pixa, N. H., Kutz, D. F., & Voelcker-Rehage, C. (2023). Bimanual coupling is associated with left frontocentral network activity in a task-specific way. European Journal of Neuroscience. https://doi.org/10.1111/ejn.16042

Voelcker-Rehage, C., Hamker, F. H., Baladron, J., Rudisch, J., Fietzek, T., & Vitay, J. (2023). (in press). Observational Learning in Humans and Machines. In B. Meyer, U. Thomas, & O. Kanoun (Eds.), Hybrid Societies - Humans Interacting with Embodied Technologies (Vol. 1). Springer.

Gaidai, R., Goelz, C., Mora, K., Rudisch, J., Reuter, E.-M., Godde, B., Reinsberger, C., Voelcker-Rehage, C., & Vieluf, S. (2022). Classification characteristics of fine motor experts based on electroencephalographic and force tracking data. Brain Research, 1792, 148001. https://doi.org/10.1016/j.brainres.2022.148001

Kutz, D. F., Fröhlich, S., Rudisch, J., Müller, K., & Voelcker-Rehage, C. (2022). Finger Tapping as a Biomarker to Classify Cognitive Status in 80+-Year-Olds. Journal of Personalized Medicine, 12(2). https://doi.org/10.3390/jpm12020286

Sanseverino, G., Krumm, D., Kopnarski, L., Rudisch, J., Voelcker-Rehage, C., & Odenwald, S. (2022). Preliminary Validation of a Virtual Environment for Simulation and Recognition of Human Gestures. In S. Gerbino, A. Lanzotti, M. Martorelli, R. Mirálbes Buil, C. Rizzi, & L. Roucoules (Eds.), Advances on Mechanics, Design Engineering and Manufacturing IV. JCM 2022. Lecture Notes in Mechanical Engineering (1–, pp. 605-613). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-15928-2_53

Goelz, C., Mora, K., Rudisch, J., Gaidai, R., Reuter, E., Godde, B., Reinsberger, C., Voelcker-Rehage, C., & Vieluf, S. (2021). Classification of visuomotor tasks based on electroencephalographic data depends on age-related differences in brain activity patterns. Neural Networks, 142, 363-374. https://doi.org/10.1016/j.neunet.2021.04.029