Katharina Dobs

Justus-Liebig-Universität Gießen FB06 Psychologie und Sportwissenschaft
Otto-Behaghel-Straße 10
35394 Gießen

+49 (0)641 99 26 129 Send e-mail Visit website

Short info

My research focuses on human visual recognition. I’m interested in how visual information is transformed until we recognize people, objects, their relationship to each other and the overall gist of a scene. I also investigate the functional organization of the human visual cortex and why some regions are specifically engaged in processing a single visual category and how those develop. 

My long-term goal is to better understand how humans perceive and recognize the world around them in ever-changing natural environments. To this end, I combine recent advances in machine learning with human behavioral and neural data to provide a computationally precise account of how visual recognition works in humans.

Kanwisher, N., Gupta, P., & Dobs, K. (2023).
CNNs Reveal the Computational Implausibility of the Expertise Hypothesis.
iScience, 105976.
Kanwisher, N., Khosla, M., & Dobs, K. (2023).
Using artificial neural networks to ask ‘why’ questions of minds and brains.
Trends in Neurosciences, 46, 72-88.
Rothkopf, C., Bremmer, F., Fiehler, K., Dobs, K., & Triesch, J. (2023).
Models of vision need some action.
Behavioral Brain Science, 46:e405.
Yilmaz, H., Muellner, M., Tenenbaum J. B., Dobs, K., & Yildirim, I. (2023).
Efficient inverse graphics with a differentiable generative model explains robustness of perception to unusual viewing angles.
Conference of Cognitive Compuational Neuroscience.