Ronald Sladky, Bakk. MSc PhD
Ronald Sladky
T: +43-1-4277-47132
Wintersemester 2024
180160 SE New Trends in Cognitive Science - Predictive Processing and Active Inference
Wintersemester 2023
180160 SE New Trends in Cognitive Science - The predictive coding approach to mind/cognition
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Sladky, R, Todeva-Radneva, A & Lamm, C 2023, Carving Out the Path to Computational Biomarkers for Mental Disorders. in Neuromethods. Humana Press, Inc., Neuromethods, Bd. 199, S. 145-165. https://doi.org/10.1007/978-1-0716-3230-7_10







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

Vasileiadi, M, Tik, M, Kranz, G, Ruetgen, M, Princic, M, Vanicek, T, Pfabigan, DM, 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, Jg. 34, S. 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, 19/06/22 - 23/06/22.

Sladky, R, Hahn, A, Karl, I-L, Geissberger, N, Kranz, GS, 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, Jg. 12, Nr. 7, S. 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, Jg. 128, Nr. 11, S. 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, JN, Hendler, T, Cohen Kadosh, K, Zich, C, Kohl, S, MacInnes, J, Adcock, RA, Chen, NK, Young, K, Bodurka, J, Marxen, M, Yao, S, Becker, B, Auer, T, Schweizer, R, Pamplona, G, Lanius, R, Emmert, K, Haller, S, Van De Ville, D, Kim, DY, Lee, JH, Marins, T, Fukuda, M, Sorger, B, Kamp, T, Liew, S, Veit, R, Spetter, M, Weiskopf, N, Scharnowski, F & Steyrl, D 2021, 'Predictors of Real-Time fMRI Neurofeedback Performance and Improvement - a Machine Learning Mega-Analysis.', NeuroImage, Jg. 237, 118207. https://doi.org/10.1016/j.neuroimage.2021.118207

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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 Philosophie

Universitätsstraße 7 (NIG)
1010 Wien

T: +43-1-4277-47132

ronald.sladky@univie.ac.at