Principles of Cognition in
Brains and Machines
Computational neuroscience, empirical brain research and physical constraints of intelligent systems
Computational neuroscience, empirical brain research and physical constraints of intelligent systems
Awards and Scholarships
2023
Best Paper Award at the IEEE
International Joint Conference on Neural Networks (IJCNN)
among +1800 submitted and +1100 accepted papers
Gerum, R., Erpenbeck, A., Krauss, P. & Schilling, A. (2023)
Leaky-Integrate-and-Fire Neuron Like Long-Short-Term-Memory Units as Model System in Computational Biology.
doi.org/10.1109/IJCNN54540.2023.10191268
Best Paper Award at IEEE
International Conference on Bio-engineering for Smart Technologies
Koelbl, N., Schilling, A., & Krauss, P. (2023)
Adaptive ICA for Speech EEG Artifact Removal.
doi.org/10.1109/BioSMART58455.2023.10162054
Best Poster Award at the Annual Conference of the German Society for
Sleep Research and Sleep Medicine (DGSM)
Metzner, C., Schilling, A., Traxdorf, M., Schulze, H., Tziridis, K., & Krauss, P.
Extracting continuous sleep depth from EEG data without machine learning.
Best Lecture Award at FAU
winter semester 2022/23
Lecture Computational Visual Perception
2019 – 2020
Scholarship from the Emerging Talents Initiative (ETI) of the FAU,
15,000 €
Project: Language processing in artificial neural networks and the human brain
2018
PhD Thesis awarded with summa cum laude
Title: Stochastic Resonance as a putative cause of subjective tinnitus
2013
Travel Award, Wilhelm und Else Heraeus-Stiftung,
500 €
Presentation at the Annual Meeting of the German Physical Society (DPG), Regensburg, Germany