Martin Hebart

Prof. Dr.

Justus-Liebig-Universität Gießen FB 11 Medizin
Klinikstrasse 36
35392 Giessen (Germany)

+49 (0)641 99 26 721 send e-mail visit website

Kurzinfo

My team and I aim at understanding how humans make sense of the visual world: How do we recognize the objects around us, how does the structure and function of our visual brain support this ability, and what is the role of semantic knowledge in visual processing? Fundamental to our research is the idea that we can identify and study meaningful latent dimensions that underlie our ability to perceive, categorize, and structure our visual experience.

Our research is based on a multidisciplinary approach at the intersection of psychology, neuroscience, and computer science. Our methods include traditional carefully controlled experiments, large-scale data-driven approaches based on massive behavioral and neuroimaging datasets that we collect and analyze (https://things-initiative.org), and computational modeling based on recent developments in artificial intelligence including deep neural networks and large language models.

project-related publications
Hansen, H., & Hebart, M. N. (2022). Semantic features of object concepts generated with GPT-3. arXiv preprint arXiv:2202.03753. find paper DOI
Hebart, M. N., Contier, O., Teichmann, L., Rockter, A. H., Zheng, C. Y., Kidder, A., Corriveau, A., Vaziri-Pashkam, M., & Baker, C. I. (2023). THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior. Elife, 12, e82580. find paper DOI