Scholar
K. Seeliger
Google Scholar ID: 40a-kXoAAAAJ
Max Planck Institute for Human Cognitive and Brain Sciences
Citations & Impact
Citations
856
H-index
11
i10-index
12
Publications
20
Co-authors
10
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Postdoctoral researcher at Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- PhD research conducted at the Neural Coding Lab, Donders Institute
- Completed lab rotations at CiNet, Berlin-BCI, TU Berlin ML group (MSc thesis), hayneslab, MPI-MIS, Vernetzte Medien (BSc thesis), Cybermedia Center, and others
- Worked as a student assistant (data mining/processing) at WebIS and DLR Asteroids & Comets (German Space Agency)
- ML intern at Datameer (Bay Area office)
- Localization tester for Rockstar Games Lincoln
- Tutored undergraduate courses in Artificial Neural Networks, Python for AI, and Scientific Writing
Background
- Currently a postdoctoral researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig
- Member of the Neural Data Science and Statistical Computing group led by Nico Scherf
- Affiliated with the Neural Coding Lab at the Donders Institute in the Netherlands
- Research focuses on neural coding, particularly similarities between representation hierarchies in convolutional neural networks and biological visual systems
- Currently exploring end-to-end training of CNN models of the visual system directly on large-scale human fMRI data to predict brain activity and build in-silico models
- This approach enables large-scale analysis of the visual system and may eventually allow reconstruction of perception or imagery from brain activity
- Advocates for open data and code sharing in neuroscience, following the Donders Institute’s policy
