Fabian Kessler

Fabian Kessler joined the lab in February 2020.

My current research focuses on questions concerning human spatial navigation behavior. My work is centered around the question: How do Humans get from point A to B?

More specifically, I’m interested in how humans represent their own belief about where they are in the world and how they use it to inform their navigational decisions. I combine work from navigation experiments in virtual environments with probabilistic computational models in order to understand complex navigation behavior, where information from multiple sources is integrated over time and space.

• Kessler, Fabian & Frankenstein, Julia & Rothkopf, Constantin. (2023). Optimal feedback control under uncertainty explains errors, variability and behavioral strategies in human navigation. Computational Cognitive Neuroscience (CCN 2023 Oxford) 10.32470/CCN.2023.1460-0.
• F. Kessler, J. Frankenstein, C. A Rothkopf. Optimal control under uncertainty predicts variability in human navigation behavior COSYNE Montreal 2023
• F. Kessler, J. Frankenstein, C. A Rothkopf. A dynamic Bayesian actor model explains endpoint variability in homing tasks, [submitted] bioRxiv, 2022
• J. Frankenstein, F. Kessler, C. Rothkopf. Applying psychophysics to applied spatial cognition research. Spatial Cognition XII. Spatial Cognition 2020. Lecture Notes in Computer Science, vol 12162. Springer, Cham.

B.Sc.

Lydia Ebbinghaus – Spatial Navigation in a Virtual Reality Homing Task