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Florian P. Mahner

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.

  • PhD in Computational Cognitive Neuroscience (since 2021)
  • MSc in Artificial Intelligence at Radboud University (excellent with distinction, 2018-2021)
  • BSc in Cognitive Science at Osnabrück University (excellent, 2013-2017)

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.

Drop me a mail whenever you like @ florian dot mahner at icloud dot com.
Find me on GitHub.
Or

Theses - BSc, MSc.
What I work with - VSCode, Jupyter, Overleaf, Brave, MathPix, Alfred, Typora, iTerm, Notability.
Here is my vimrc.
The goods - Climbing, Chess, Biking.