Prof.
Karl Gegenfurtner, PhD
Justus-Liebig-Universität Gießen
FB 06 Psychologie und Sportwissenschaften
Otto-Behaghel-Straße 10
35394 Gießen
Short info
The emphasis of my current research is on information processing in the visual system. Specifically, I am concerned with the relationship between low level sensory processes, higher level visual cognition, and sensorimotor integration.
My goal is to answer the question how complex scenes and objects are perceived in a natural environment, how they are represented in the brain, and how the visual information is used to drive the motor system.
Open Science
Morimoto, T., Akbarinia, A., Storrs, K. R., Cheeseman, J. R., Smithson, H. E., Gegenfurtner, K. R., & Fleming, R. W. (2025).
Human gloss perception reproduced by tiny neural networks.
bioRxiv preprint: 2025-05.
Human gloss perception reproduced by tiny neural networks.
bioRxiv preprint: 2025-05.
Articles
Aizenman, A. M., Gegenfurtner, K. R., & Goettker, A. (2024).
Oculomotor routines for perceptual judgments.
Journal of Vision, 24(5), 3-3.
Oculomotor routines for perceptual judgments.
Journal of Vision, 24(5), 3-3.
Flachot, A., Akbarinia, A., Schütt, H. H., Fleming, R. W., Wichmann, F. A., & Gegenfurtner, K. R. (2022).
Deep neural models for color classification and color constancy.
Journal of vision, 22(4), 17-17.
Deep neural models for color classification and color constancy.
Journal of vision, 22(4), 17-17.
Goettker, A., & Gegenfurtner, K. R. (2024).
Individual differences link sensory processing and motor control.
Psychological Review.

Individual differences link sensory processing and motor control.
Psychological Review.
Rodríguez, R. G., Hedjar, L., Toscani, M., Guarnera, D. Y., Guarnera, G. C., & Gegenfurtner, K. R. (2024).
Color constancy mechanisms in virtual reality environments.
Journal of Vision, 24(5) ,6-6.
Color constancy mechanisms in virtual reality environments.
Journal of Vision, 24(5) ,6-6.
Schütz, A. C., & Gegenfurtner, K. R. (2025).
Within-subject confidence intervals for pairwise differences in scatter plots.
Psychonomic Bulletin & Review, 1-14.
Within-subject confidence intervals for pairwise differences in scatter plots.
Psychonomic Bulletin & Review, 1-14.