Matthias Bethge
Affiliations: | Max Planck Institute for Biological Cybernetics, Tübingen, Baden-Württemberg, Germany |
Area:
Early VisionGoogle:
"Matthias Bethge"Mean distance: 13.44 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentorKlaus Pawelzik | grad student | University of Bremen | |
Bruno A. Olshausen | post-doc | MPI for Biological Cybernetics |
Children
Sign in to add traineeThomas V. Wiecki | research assistant | MPI for Biological Cybernetics | |
Santiago Andres Cadena | grad student | ||
Robert Geirhos | grad student | ||
Jörn-Philipp Lies | grad student | Werner Reichardt Centre for Integrative Neuroscience | |
Philipp Berens | grad student | 2007- | MPI for Biological Cybernetics |
Alexander S. Ecker | grad student | 2008- | Universität Tübingen |
Lucas Theis | grad student | 2011- | Werner Reichardt Centre for Integrative Neuroscience |
Biswa Sengupta | grad student | 2007-2007 | MPI for Biological Cybernetics |
Jakob H. Macke | grad student | 2005-2010 | MPI for Biological Cybernetics |
Fabian Sinz | grad student | 2007-2012 | MPI for Biological Cybernetics |
Alexander Mathis | post-doc | ||
Holly E. Gerhard | post-doc | 2010- | MPI for Biological Cybernetics |
Thomas S.A. Wallis | post-doc | 2013- | Universität Tübingen |
Mackenzie Weygandt Mathis | post-doc | 2017-2017 | |
Dylan M Paiton | post-doc | 2019-2021 | Universität Tübingen |
Collaborators
Sign in to add collaboratorFelix A. Wichmann | collaborator | MPI for Biological Cybernetics |
BETA: Related publications
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Publications
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Höfling L, Szatko KP, Behrens C, et al. (2024) A chromatic feature detector in the retina signals visual context changes. Elife. 13 |
Cadena SA, Willeke KF, Restivo K, et al. (2024) Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. Plos Computational Biology. 20: e1012056 |
Burg MF, Zenkel T, Vystrčilová M, et al. (2024) Most discriminative stimuli for functional cell type clustering. Arxiv |
Sandbrink KJ, Mamidanna P, Michaelis C, et al. (2023) Contrasting action and posture coding with hierarchical deep neural network models of proprioception. Elife. 12 |
Qiu Y, Klindt DA, Szatko KP, et al. (2023) Efficient coding of natural scenes improves neural system identification. Plos Computational Biology. 19: e1011037 |
Li Z, Ortega Caro J, Rusak E, et al. (2023) Robust deep learning object recognition models rely on low frequency information in natural images. Plos Computational Biology. 19: e1010932 |
Burg MF, Cadena SA, Denfield GH, et al. (2021) Learning divisive normalization in primary visual cortex. Plos Computational Biology. 17: e1009028 |
Zhao Z, Klindt DA, Maia Chagas A, et al. (2020) The temporal structure of the inner retina at a single glance. Scientific Reports. 10: 4399 |
Sinz FH, Pitkow X, Reimer J, et al. (2019) Engineering a Less Artificial Intelligence. Neuron. 103: 967-979 |
Wallis TSA, Tobias S, Bethge M, et al. (2019) Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics |