
Fabian M. Renz
Doctoral Candidate (deputy cohort representative)
Academic education
since 2020 |
Doctoral candidate, Max Planck School of Cognition, Leipzig, Germany Doctoral research performed at the Max Planck Institutes for Human Development, Berlin, Germany and for Human Cognitive and Brain Sciences, Leipzig, Germany, Supervisors: Peter Dayan, Christian F. Doeller, and Nicolas Schuck Lab rotations in the orientation phase: Peter Dayan, Christian F. Doeller, and John-Dylan Haynes |
---|---|
2017–2021 | Master of Science in Cognitive Science, University of Vienna, Austria |
2017–2020 | Master of Science in Psychology, University of Vienna, Austria |
2014–2017 | Bachelor of Science in Psychology, University of Vienna, Austria |
Publication
Haugg, A., Renz, F. M., [...], Weiskopf, N., Scharnowski, F., & Steyrl, D. (2021). Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis. NeuroImage, 237, 118207. https://doi.org/10.1016/j.neuroimage.2021.118207
Poster presentation
Renz, F. M., Steyrl, D., Haugg, A., Lor, C., Götzendorfer, S. J., Nicholson, N., Hellrung, L., Papoutsi, M., Marxen, M., MacInnes, J., Adcock, A., Dickerson, K., Chen, N. K., Young, K., Bodurka, J., Shuxia, J., Becker, B., Auer, T., Schweizer, R., Emmert, K., Haller, S., Van De Ville, D., Kim, D. Y., Lee, J. H., Marins, T., Weiskopf, N., Scharnowski, F. (2019, December). Predicting neurofeedback performance [Poster]. “Real-time functional imaging and neurofeedback Conference”, Maastricht, the Netherlands.
Photo: Anja Schneider