Tobias F. Niehues

Tobias Niehues has joined the lab as a PhD student in April 2024.

My research interests include computational modeling for inverse decision-making in human behavior to learn about the parameters that shape our everyday behavior, as well as the interplay of perception & action.

I am also interested in methods from machine learning and how they can be used to improve our understanding of human behavior or, vice versa, machine learning may be improved by our knowledge of human cognition.

• Niehues, T. F., Straub, D. & Rothkopf, C. A. (2025). Revisiting Cost Functions in Sensorimotor Decision-Making. 8th Annual Conference on Cognitive Computational Neuroscience (accepted as a Poster, 2-Page-Track)
• Straub, D.*, Niehues, T. F.*, Peters, J., & Rothkopf, C. A. (2025). Inverse decision-making using neural amortized Bayesian actors. The Thirteenth International Conference on Learning Representations.
  https://arxiv.org/abs/2409.03710.
• Niehues, T. F.*, Straub, D.*, & Rothkopf, C. A. (2024). Bayesian inference of perceptual uncertainty, behavioral costs, and prior beliefs for continuous perception-action tasks. Journal of Vision, 24(10), 376-376.
  https://doi.org/10.1167/jov.24.10.376

*both authors contributed equally