Dr. Sarah Schwöbel
Table of contents
Contact information
© Sarah Schwoebel
PostDoc
NameDr. Sarah Schwöbel
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Chair of Cognitive Computational Neuroscience
Visiting address:
Falkenbrunnen, Room 143 Chemnitzer Str. 46b
01187 Dresden
Postal address:
TUD Dresden University of Technology
School of Science
Faculty of Psychology
Chair of Cognitive Computational Neuroscience
01062 Dresden
Education
| 09/2020 | Dr. rer. nat., Faculty of Pschology, TU Dresden |
| 2016 - 2020 | PhD Candidate, Department of Psychology, Technical University of Dresden |
| 2013 - 2015 | MSc. in Physics, Ludwig-Maximilians-Universität, Munich |
| 2008 - 2013 | BSc. in Physics, Ludwig-Maximilians-Universität, Munich |
Career
| since 09/2020 | PostDoc, Chair of Neuroimaging, Faculty of Pschology, TU Dresden |
| 2016 | Internship at the Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, RWTH Aachen |
| 2015 | Software developer, Engineering Bureau Cichon, Munich |
| 2015 | Teaching Assistant for automotive lab course, Cichon Lab, Department of Computer Science, Ludwig-Maximilians-Universität Munich |
| 2013 - 2015 | Student employee, Wachtler Lab, Department of Biology, Ludwig-Maximilians-Universität Munich |
| 2013 - 2014 | Teaching Assistant for Experimental Physics, Rädler Lab, Department of Physics, Ludwig-Maximilians-Universität Munich |
| 2012 |
Student employee, Engineering Buraeu Cichon, Munich |
Publications
Wagner, B. J., Frolich, S., Schwobel, S., Smolka, M. N., & Kiebel, S. J. (2026). Context-dependent interaction between goal-directed and habitual control under time pressure. Commun Psychol. doi:10.1038/s44271-026-00455-2
Sass, S. H., Gönner, L., Schwöbel, S., Frölich, S., Glöckner, F., Kiebel, S. J., Li, S. C., & Smolka, M. N. (2025). Heuristic pruning of decision trees at low probabilities and probability discounting in sequential planning in young and older adults. Scientific Reports, 15(1). doi:10.1038/s41598-025-00905-7
Mittenbuhler, M., Schwoebel, S., Dignath, D., Kiebel, S. , Butz , MV. (2025) A Rational Trade-Off Between the Costs and Benefits of Automatic and Controlled Processing. Proceedings of the Annual Meeting of the Cognitive Science Society 46. doi:10.31234/osf.io/gbcxq
Butz, M. V., Mittenbuhler, M., Schwobel, S., Achimova, A., Gumbsch, C., Otte, S., & Kiebel, S. (2024). Contextualizing predictive minds. Neurosci Biobehav Rev, 168, 105948. doi:10.1016/j.neubiorev.2024.105948
Legler, E., Rivera, D. C., Schwöbel, S., Wagner, B. J., & Kiebel, S. (2024). Cognitive Computational Model Reveals Repetition Bias in a Sequential Decision-Making Task. bioRxiv, 2024.2005.2030.596605.doi:10.1101/2024.05.30.596605
Schwöbel, S., Marković, D., Smolka, M. N., Kiebel, S. (2024) Joint modeling of choices and reaction times based on Bayesian contextual behavioral control. PLOS Computational Biology 20(7): e1012228. doi:10.1371/journal.pcbi.1012228
Markovic, D., Stojic, H., Schwöbel, S., & Kiebel, S. J. (2021). An empirical evaluation of active inference in multi-armed bandits. Neural Networks, 144, 229-246. doi:10.1016/j.neunet.2021.08.018
Schwöbel, S., Marković, D., Smolka, M. N., & Kiebel, S. J. (2021). Balancing control: a Bayesian interpretation of habitual and goal-directed behavior. Journal of Mathematical Psychology, 100, 102472. doi:10.1016/j.jmp.2020.102472
Schwöbel, S., Kiebel, S., & Markovic, D. (2018). Active Inference, Belief Propagation, and the Bethe Approximation. Neural Computation, 30(9), 2530-2567. doi:10.1162/neco_a_01108