Ronald Sladky, Bakk. MSc PhD
Ronald Sladky
T: +43-1-4277-47132
Wintersemester 2023
180160 SE New Trends in Cognitive Science - The predictive coding approach to mind/cognition




Sladky, R., Todeva-Radneva, A., & Lamm, C. (2023). Carving Out the Path to Computational Biomarkers for Mental Disorders. in Neuromethods (S. 145-165). Humana Press, Inc.. Neuromethods Band 199 https://doi.org/10.1007/978-1-0716-3230-7_10







Haugg, A., Manoliu, A., Sladky, R., Hulka, L. M., Kirschner, M., Brühl, A. B., Seifritz, E., Quednow, B. B., Herdener, M., & Scharnowski, F. (2022). Disentangling craving- and valence-related brain responses to smoking cues in individuals with nicotine use disorder. Addiction Biology, 27(1), [e13083]. https://doi.org/10.1111/adb.13083

Vasileiadi, M., Tik, M., Kranz, G., Ruetgen, M., Princic, M., Vanicek, T., Pfabigan, D. M., Hahn, A., Sladky, R., Lanzenberger, R., Lamm, C., & Windischberger, C. (2022). EMOTION PROCESSING TASK AS A NEW STRATEGY FOR LOCATING INDIVIDUALIZED TMS TARGETS. Psychiatria Danubina, 34, 27-27.

Sladky, R., Riva, F., & Lamm, C. (2022). That did not age well: amygdala-mediated trust learning is impaired in older adults. Organization for Human Brain Mapping 2022 Annual Meeting, Glasgow, Großbritannien / Vereinigtes Königreich.

Sladky, R., Hahn, A., Karl, I-L., Geissberger, N., Kranz, G. S., Tik, M., Kraus, C., Pfabigan, D., Gartus, A., Lanzenberger, R., Lamm, C., & Windischberger, C. (2021). Dynamic causal modeling of the prefrontal-amygdala network during processing of emotional faces. Brain Connectivity, 12(7), 670-682. https://doi.org/10.1089/brain.2021.0073


Watve, A., Haugg, A., Koush, Y., Willinger, D., Bruhl, A., Stampfli, P., Scharnowski, F., & Sladky, R. (2021). Amygdala regulation using real-time fMRI based implicit closed-loop neurofeedback. JOURNAL OF NEURAL TRANSMISSION, 128(11), 1775-1775.



Haugg , A., Renz, FM., Nicholson, AA., Lor, C., Götzendorfer, SJ., Sladky, R., Skouras, S., McDonald, A., Craddock, C., Hellrung, L., Kirschner, M., Herdener, M., Koush, Y., Papoutsi, M., Keynan, J. N., Hendler, T., Cohen Kadosh, K., Zich, C., Kohl, S., ... 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

Keine Angst vor dem Gehirn: Warum ich mir von meinem Gehirn nicht immer alles gefallen lassen muss

Ronald Sladky (Vortragende*r)

30 Sep. 2019

Aktivität: VorträgeVortragScience to Public


Prediction of Antidepressant Treatment Outcomes with Ultra-high Field Magnetic Resonance Imaging.

Christoph Kraus (Vortragende*r), Rene Seiger (Autor*in), Daniela Pfabigan (Autor*in), Ronald Sladky (Autor*in), Bastian Auer (Autor*in), Martin Tik (Autor*in), Katharina Paul (Autor*in), Michael Woletz (Autor*in), M Spies (Autor*in), Gregor Gryglewski (Invited speaker), Thomas Vanicek (Autor*in), Arkadiusz Komorowski (Autor*in), S. Kasper (Autor*in), Claus Lamm (Autor*in), Christian Windischberger (Autor*in) & Rupert Lanzenberger (Autor*in)

28 Mai 201931 Mai 2019

Aktivität: VorträgeVortragScience to Science


Institut für Psychologie der Kognition, Emotion und Methoden

EDV-Beauftragter

Liebiggasse 5
1010 Wien

T: +43-1-4277-47132

ronald.sladky@univie.ac.at