Klaus Obermayer
Photo: SCIoI
Klaus Obermayer and his research group study the principles which underlie information processing in neural and artificial systems. Current projects cover the three thematic areas Models of neural systems, machine learning and artificial neural networks, and the analysis of neural data. Klaus Obermayer will contribute to SCoI mainly with his expertise in machine learning for pattern recognition, reinforcement learning, and the computational modelling of human perception, decision making, and reward-based learning.
Projects
Klaus Obermayer is member of Project 01, Project 15, Project 57.
Publications +
Roth, N., Rolfs, M., & Obermayer, K. (2022). Scanpath prediction in dynamic real-world scenes based on object-based selection. Journal of Vision / VSS 2022. https://doi.org/10.1167/jov.22.14.4217
Roth, N., Rolfs, M., & Obermayer, K. (2022). ScanDy: Simulating Realistic Human Scanpaths in Dynamic Real-World Scenes. MODVIS 2022. https://docs.lib.purdue.edu/modvis/2022/session01/6/
Muscinelli, F., Roth, N., Shurygina, O., Obermayer, K., & Rolfs, M. (2022). Object-based Spread of Attention Affects Fixation Duration During Free Viewing. Perception/ ECVP2022.
Roth, N., Rolfs, M., Hellwich, O., & Obermayer, K. (2023). Objects guide human gaze behavior in dynamic real-world scenes. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1011512
Roth, N., Bideau, P., Hellwich, O., Rolfs, M., & Obermayer, K. (2021). Modeling the influence of objects on saccadic decisions in dynamic real-world scenes. PERCEPTION / 43rd European Conference on Visual Perception (ECVP) 2021. https://journals.sagepub.com/doi/full/10.1177/03010066211059887
Roth, N., McLaughlin, J., Obermayer, K., & Rolfs, M. (2023). Looking for potential action: Differences in exploration behavior of static and (potentially) dynamic scenes. Journal of Vision. https://doi.org/10.1167/jov.23.9.5293
Chouzouris, T., Roth, N., Cakan, C., & Obermayer, K. (2021). Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. Physical Review E, 104(2), 24213. https://doi.org/10.1103/PhysRevE.104.024213
Roth, N., Bideau, P., Hellwich, O., Rolfs, M., & Obermayer, K. (2021). A modular framework for object-based saccadic decisions in dynamic scenes. CVPR EPIC Workshop / arXiv:2106.06073. https://doi.org/10.48550/arXiv.2106.06073
