Nicolas Roth is a PhD student working on computational models of attention. At SCIoI, he is working on Project 01, “Object-level scene descriptions and attention in visual search.” The aim of his project at SCIoI is to learn to form visual scene analysis strategies in humans, and employ these findings on computer vision tasks. This project is jointly supervised by Klaus Obermayer, Martin Rolfs, and Olaf Hellwich. Nico has studied physics at Ruprecht Karl University of Heidelberg, where he was mainly concerned with computational astrophysics and image processing for applications in environmental physics. Before joining SCIoI, he worked in theoretical neuroscience, more specifically predicting the impact of external stimulation on the dynamics of whole brain networks.
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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., 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
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