Kognitive Psychologie, Wahrnehmung und Methodenlehre

Associate Lecturers

M Sc Lukas Huber

A 370
University of Bern
Department of Psychology
Fabrikstrasse 8
3012 Bern
  • Visual object recognition
  • Perceptual categorisation
  • Mental Imagery
  • Computer vision
  • Application of multidimensional scaling methods

Google Scholar

Successful recognition and categorisation both demand the availability of robust mental representations of objects. In contrast to machines, humans learn such representations from relatively little visual input. In his PhD project, Lukas uses a combination of psychophysical experiments and comparison-based machine learning methods to investigate the process in which such representations are learned. More specifically, he studies how brain-internal generative processes, such as mental imagery, may act as a biological form of data augmentation that facilitates the data-efficient acquisition of robust object representations.
Lukas received his B.Sc. and M.Sc. in Psychology from the University of Bern, Switzerland. His PhD project, "Creating to perceive: The role of mental imagery in visual object recognition and categorisation", is founded by a career grant from the Swiss National Science Foundation (SNSF) and is jointly supervised by  Felix Wichmann (Neural Information Processing, University of Tübingen) and Fred Mast (Cognitive Psychology, Perception and Research Methods, University of Bern).

Peer reviewed:

Huber, L. S., Geirhos, R., & Wichmann, F. A. (2023). The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks. Journal of vision, 23(7), 4-4.https://jov.arvojournals.org/article.aspx?articleid=2791281

Huber, L. S., Reuter, K., & Cacchione, T. (2022). Children and adults don’t think they are free: A skeptical look at agent causationism. Advances in Experimental Philosophy of Causation, 189. https://www.bloomsburycollections.com/book/advances-in-experimental-philosophy-of-causation/ch9-children-and-adults-don-t-think-they-are-free-a-skeptical-look-at-agent-causationism

Huber, L. S., Geirhos, R., & Wichmann, F. A. (2021). A four-year-old can outperform ResNet--50: Out-of-distribution robustness may not require large-scale experience. In SVRHM 2021 Workshop @ NeurIPS. https://openreview.net/pdf?id=7yMg2rS9N5I


Huber, L. S., Mast, F. W., & Wichmann, F. A. (2024). Immediate generalisation in humans but a generalisation lag in deep neural networks—evidence for representational divergence?. arXiv preprint arXiv:2402.09303.https://arxiv.org/abs/2402.09303

Huber, L. S., Künstle, D., & Reuter, K. (2024). Tracing Truth Through Conceptual Scaling: Mapping People’s Understanding of Abstract Concepts. PsyArXiv preprint. https://doi.org/10.31234/osf.io/c42yr


Conference Abstracts:

Huber, L. S., Geirhos, R., & Wichmann, F. A. (2021). The developmental trajectory of object recognition robustness: comparing children, adults, and CNNs. Journal of Vision, 21(9), 1967-1967. https://jov.arvojournals.org/article.aspx?articleid=2776987