publications | mail-me
I am a PhD candidate @ the Max Planck Research Group Vision and Computational Cognition supervised by Martin Hebart. I mainly work on building computational models of the visual system using neural networks on fMRI data.
Prior to this I have been a visiting graduate student in Computational Neuroscience @ BCCN Berlin, while being enrolled in the Masters program in Artificial Intelligence (Neural Computing) @ Radboud University. I wrote my masters thesis on reconstructing brain activity from large-scale fMRI data using generative flows under supervision of Umut Güçlü. I have obtained my BSc in Cognitive Science from the University of Osnabrück.
Prior to my Masters I have interned in the O-Brain lab @ MPI-CBS working on reinforcement-learning in obesity and the Artificial Cognitive Systems lab @ Donders Institute for Brain Cognition and Behavior working on Generative Adversarial Networks as models for neural decoding.
Janssen, Lieneke K., Florian P. Mahner, Florian Schlagenhauf, Lorenz Deserno, and Annette Horstmann (2019). “Reliance on Model-Based and Model-Free Control in Obesity.” WorkingPaper. Open Science Framework (OSF). doi:10.31234/osf.io/6s47t.
Tanisaro, Pattreeya, Florian P. Mahner, and Gunther Heidemann (2017). “Quasi View-Independent Human Motion Recognition in Subspaces.” In Proceedings of the 9th International Conference on Machine Learning and Computing, 278–83. ACM. doi:10.1145/3055635.3056577.
An up-to-date list can also be found on my Google Scholar profile.