Author

Wieland Brendel

University of Tübingen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Andreas Savas ToliasiD· 1 shared Ankit PateliD· 1 shared Evgenia RusakiD· 1 shared Fabio AnselmiiD· 1 shared Josue Ortega CaroiD· 1 shared Matthias BethgeiD· 1 shared Xaq PitkowiD· 1 shared Zhe LiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Andreas Savas ToliasORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Robust deep learning object recognition models rely on low frequency information in natural images

Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit Patel, Andreas Savas Tolias, Xaq Pitkow

This study shows that robust deep learning models for object recognition rely on low spatial frequency information, as evidenced by their performance on adversarial attacks and common corruptions.

PLoS Computational Biology · Mar 27, 2023Peer-reviewedNeuroscience