Felix A. Wichmann
Affiliations: | Eberhard Karls Universität Tübingen, Tübingen, Baden-Württemberg, Germany |
Area:
Psychophysics, Vision, Statistics, Computational ModellingWebsite:
http://www.wichmannlab.orgGoogle:
"Felix Wichmann"Cross-listing: Neurotree
Parents
Sign in to add mentor| G. Bruce Henning | grad student | Oxford (Neurotree) | |
| Johan Wagemans | post-doc | 1999-2001 | KU Leuven (Neurotree) |
| Bernhard Schölkopf | post-doc | 2002-2007 | MPI for Biological Cybernetics (Neurotree) |
Children
Sign in to add trainee| Nadja Althaus | research assistant | MPI Tuebingen (Neurotree) | |
| Robert Geirhos | grad student | (Neurotree) | |
| Robbe L.T. Goris | grad student | Bernstein Center for Computational Neuroscience and TU Berlin (Neurotree) | |
| Frank Jäkel | grad student | TU Berlin (Neurotree) | |
| Pedro Rosas | grad student | 1999-2004 | MPI for Biological Cybernetics |
| Kai Görgen | grad student | 2007-2010 | BCCN Berlin (Neurotree) |
| Heiko H Schütt | grad student | 2014-2018 | Universität Tübingen (Neurotree) |
| Thomas S.A. Wallis | post-doc | 2013- | Universität Tübingen (Neurotree) |
| Marianne Maertens | post-doc | 2008-2010 | Bernstein Center for Computational Neuroscience and TU Berlin (Neurotree) |
| Ingo Fruend | post-doc | 2009-2012 | Universität Tübingen (Neurotree) |
Collaborators
Sign in to add collaborator| Guillermo Aguilar | collaborator | (Neurotree) | |
| Matthias Bethge | collaborator | MPI for Biological Cybernetics (Neurotree) | |
| Jan Drewes | collaborator | Institut de Neurosciences Cognitives de la Méditerranée (Neurotree) | |
| Karl R. Gegenfurtner | collaborator | MPI for Biological Cybernetics (Neurotree) | |
| Bernhard Schölkopf | collaborator | MPI for Biological Cybernetics (Neurotree) |
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. |
| Schmittwilken L, Wichmann FA, Maertens M. (2024) Standard models of spatial vision mispredict edge sensitivity at low spatial frequencies. Vision Research. 222: 108450 |
| Wichmann FA, Kornblith S, Geirhos R. (2023) Neither hype nor gloom do DNNs justice. The Behavioral and Brain Sciences. 46: e412 |
| Huber LS, Geirhos R, Wichmann FA. (2023) The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks. Journal of Vision. 23: 4 |
| Wichmann FA, Geirhos R. (2023) Are Deep Neural Networks Adequate Behavioral Models of Human Visual Perception? Annual Review of Vision Science |
| Flachot A, Akbarinia A, Schütt HH, et al. (2022) Deep neural models for color classification and color constancy. Journal of Vision. 22: 17 |
| Haghiri S, Wichmann FA, von Luxburg U. (2020) Estimation of perceptual scales using ordinal embedding. Journal of Vision. 20: 14 |
| Meding K, Bruijns SA, Schölkopf B, et al. (2020) Phenomenal Causality and Sensory Realism. I-Perception. 11: 2041669520927038 |
| Wallis TSA, Tobias S, Bethge M, et al. (2019) Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics |
| Trukenbrod HA, Barthelmé S, Wichmann FA, et al. (2019) Spatial statistics for gaze patterns in scene viewing: Effects of repeated viewing. Journal of Vision. 19: 5 |
| Wallis TS, Funke CM, Ecker AS, et al. (2019) Image content is more important than Bouma's Law for scene metamers. Elife. 8 |