Prof Dr Rainer Goebel (R.W.)

Hashim, I. C., Senden, M., & Goebel, R. (2025). PrediRep: Modeling hierarchical predictive coding with an unsupervised deep learning network. Neural Networks, 185, Article 107246. https://doi.org/10.1016/j.neunet.2025.107246

Pizzuti, A., Gulban, O. F., Huber, L., Peters, J. C., & Goebel, R. (2025). In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1. Brain Structure & Function, 230(3), Article 47. https://doi.org/10.1007/s00429-025-02906-8

van Hoof, R., Lozano, A. M., Wang, F., Klink, P. C., Roelfsema, P., & Goebel, R. (2025). Optimal placement of high-channel visual prostheses in human retinotopic visual cortex. Journal of neural engineering, 22(2), Article 026016. https://doi.org/10.1088/1741-2552/adaeef

Breman, H., Hoekzema, R. S., Johansen, M. W., Sorensen, H. K., & Goebel, R. (2025). On the Importance of Visuo-Spatial Thinking for Research Mathematicians. Canadian Journal of Experimental Psychology-Revue Canadienne de Psychologie Experimentale. https://doi.org/10.1037/cep0000365

Zamboni, E., Watson, I., Stirnberg, R., Huber, L., Formisano, E., Goebel, R., Kennerley, A. J., & Morland, A. B. (2025). Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T. Frontiers in Neuroscience, 19, Article 1537026. https://doi.org/10.3389/fnins.2025.1537026

Sulzer, J., Papageorgiou, T. D., Goebel, R., & Hendler, T. (2024). Neurofeedback: new territories and neurocognitive mechanisms of endogenous neuromodulation. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1915), Article 20230081. https://doi.org/10.1098/rstb.2023.0081

Muñoz-Moldes, S., Tursic, A., Lührs, M., Eck, J., Benitez Andonegui, A., Peters, J., Cleeremans, A., & Goebel, R. (2024). Online self-evaluation of fMRI-based neurofeedback performance. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1915), Article 20230089. https://doi.org/10.1098/rstb.2023.0089

Goebel, R., Lührs, M., Ciarlo, A., Esposito, F., & Linden, D. E. (2024). Semantic fMRI neurofeedback of emotions: from basic principles to clinical applications. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1915), Article 20230084. https://doi.org/10.1098/rstb.2023.0084

da Costa, D., Kornemann, L., Goebel, R., & Senden, M. (2024). Convolutional neural networks develop major organizational principles of early visual cortex when enhanced with retinal sampling. Scientific Reports, 14(1), Article 8980. https://doi.org/10.1038/s41598-024-59376-x