Credit: Livia Jakob
Primary Advisor: Prof. Dr. Andreas Voss (Heidelberg University)
Additional Supervisors: Prof. Dr. Christoph Klauer, Prof. Dr. Rolf Ulrich
Dissertation Proposal: Dynamic models in cognition
Research Areas
- Value-based decision-making
- Mathematical modeling of cognitive processes
- Reinforcement learning models
- Evidence accumulation models
- Bayesian statistics
Publications
Schumacher, L., Bürkner, P.-C., Voss, A., Köthe, U., & Radev, S. T. (2023). Neural superstatistics for Bayesian esti-
mation of dynamic cognitive models. Scientific Reports, 13(1), 13778. https://doi.org/10.1038/s41598-023-40278-3Radev, S. T., Schmitt, M., Schumacher, L., Elsemüller, L., Pratz, V., Schälte, Y., Köthe, U., & Bürkner, P.-C. (2023).
Bayesflow: Amortized bayesian workflows with neural networks. Journal of Open Source Software, 8(89), 5702. https://doi.org/10.21105/joss.05702Schumacher, L., & Voss, A., (2023). Duration discrimination: A diffusion decision modeling approach. Attention, Perception, & Psychophysics, 85(2), 560–577.
Talks
Schumacher, L., Radev, S.T., Voss, A., (2021). Reinforcement learning evidence accumulation models for multi-alternative decision-making [Talk]. 15th Conference of the Section Methods & Evaluation of the German Psychological Society, Mannheim, Germany (online).
Schumacher, L., Voss, A., Köthe, U., Radev, S.T., (2022). A Neural Bayesian Method for Estimating Complex Dynamic Models of Cognition [Talk]. Meeting of the European Mathematical Psychology Group, Rovereto, Italy.
Schumacher, L., Bürkner, P.-C., Voss, A., Köthe, U., Radev, S.T., (2023). Neural Superstatistics: A Bayesian Method for Estimating Dynamic Models of Cognition [Talk]. 65th Conference of Experimental Psychologists (TeaP, Tagung experimentell arbeitender Psychologen), Trier, Germany.
Posters
Schumacher, L., Ellis, A., Mast, F., (2019). Decision-making based on self-motion perception: A drift diffusion modelling approach to the speed-accuracy tradeoff [Poster presentation]. Model-based Neuroscience Summer School, Amsterdam, Netherlands.
Schumacher, L., Ellis, A., Mast, F., (2019). Decision-making based on self-motion perception: A drift diffusion modelling approach to the speed-accuracy tradeoff [Poster presentation]. Sackler’s colloquium, “Brain produces mind by modeling”, Irvine, California.
Schumacher, L., Radev, S.T., Voss, A., (2022). Understanding learning during multi-alternative decision-making [Poster presentation]. 5th EADM Summer School on Learning and Decision Making, Barcelona, Spain.