K. Seeliger
publications | contact | misc
About
Research
I am a postdoctoral researcher at Martin Luther University Halle-Wittenberg (PI Thomas Schmid). I am also affiliated with the Neural Data Science and Statistical Computing (NeurDS) lab (PI Nico Scherf) at MPI-CBS in Leipzig, and with the Neural Coding Lab (PI Umut Güçlü) at Donders Institute in Nijmegen, where I obtained my PhD.
My research area is neural coding and neural system identification. Much of my work has focused on the similarities between representation hierarchies learned by neural networks and by biological visual systems. Instead of using pretrained models from engineering, I am now using machine learning methods as tools for inferring neural systems from large neuroimaging datasets. My work treats these large-scale neural recordings as partial and noisy observations of an underlying computational system. The measured data is not regarded the system itself, but as a shadow cast by its activity. I use neural networks and dynamical models to infer (parts of) the underlying computational system that produced the observations.
One part of my research uses neural networks to model sensory information processing from large-scale neural recordings. Models with interpretable parameters are trained directly to predict measured brain activity based on the stimuli. This produces computational models whose internal representations can be compared to real neural representations, and whose responses can be further analyzed in-silico.
My current work infers latent dynamical systems from propofol EEG recorded during continuous transitions between conscious and unconscious states.
Code and data are released publicly on GitHub and data platforms like Zenodo whenever possible. If something is missing, feel free to contact me.
Education / experience
I did a BSc in Applied Computer Science at Bauhaus Universität Weimar and a MSc in Computational Neuroscience at Bernstein Center for Computational Neuroscience (BCCN) Berlin. I have obtained my PhD degree in the research group Artificial Cognitive Systems by Marcel van Gerven at the Donders Institute for Brain, Cognition and Behaviour in the Netherlands.
I did my first PostDoc at Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS, Leipzig) in the Vision and Computational Cognition Group led by Martin Hebart.During university I have done lab rotations at CiNet, Berlin-BCI, TU Berlin ML group (thesis), hayneslab, MPI-MIS, Vernetzte Medien (thesis), Cybermedia Center and others. I used to work as a student assistant (data mining / processing) at the WebIS group and at DLR Asteroids & Comets (German Space Agency), as an ML intern for Datameer (Bay Area office) and as a localisation tester for Rockstar Games Lincoln. You can find my full CV (academic style) here.
I have been tutoring in the undergraduate courses Artificial Neural Networks, Python for AI and Scientific Writing.
Publications
The projects to which I contributed can be found on my Google Scholar profile.
Contact
katj posteo de (PGP key, vCard)𝕏 @seelikat
🦋 @seelikat
seelikat
⊙ Leipzig, Koffer in Berlin.
Please let me know if you would like to grab a coffee / Club Mate in the Berlin / Leipzig area.
misc
Neuro-Visual Reconstruction Dataset Index
Nice tools and pointers: Kagi search, Mendeley, pycortex, Detexify, Kagi News, BBEdit, vim, todo.txt, Mattermost, Calculating Space, mynoise & musicForProgramming.