Katja Seeliger, Dr.
Affiliations: | 2015-2020 | Donders Centre for Cognition | Radboud University Nijmegen, Nijmegen, Gelderland, Netherlands |
| 2020-2025 | Vision and Computational Cognition Group | Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Sachsen, Germany |
Area:
cognitive computational neuroscience, neural networks, end-to-end learning, neural coding, visual system, sensory reconstructionWebsite:
https://seelikat.github.ioGoogle:
"https://scholar.google.de/citations?user=40a-kXoAAAAJ"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Marcel A. J. van Gerven | grad student | 2015-2020 | Radboud University Nijmegen |
| Martin N. Hebart | post-doc | 2020-2025 | Max Planck Institute for Human Cognitive and Brain Sciences |
| John-Dylan Haynes | research scientist | 2013-2014 | Humboldt University Berlin |
| Shinji Nishimoto | research scientist | 2014-2014 | Osaka University |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Golan T, Taylor J, Schütt H, et al. (2023) Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses. The Behavioral and Brain Sciences. 46: e392 |
| Le L, Ambrogioni L, Seeliger K, et al. (2022) Brain2Pix: Fully convolutional naturalistic video frame reconstruction from brain activity. Frontiers in Neuroscience. 16: 940972 |
| Singer JJD, Seeliger K, Kietzmann TC, et al. (2022) From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction. Journal of Vision. 22: 4 |