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 B. Patel; Andreas S. Tolias; Xaq Pitkow

doi:10.1101/2022.01.31.478509

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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 B. Patel, Andreas S. Tolias, View ORCID ProfileXaq Pitkow

doi: https://doi.org/10.1101/2022.01.31.478509

Zhe Li

1Department of Neuroscience, Baylor College of Medicine, Houston, 77030, USA

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For correspondence: xaq@rice.edu

Josue Ortega Caro

1Department of Neuroscience, Baylor College of Medicine, Houston, 77030, USA

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Evgenia Rusak

2University of Tübingen, Germany

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Wieland Brendel

2University of Tübingen, Germany

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Matthias Bethge

2University of Tübingen, Germany

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Fabio Anselmi

1Department of Neuroscience, Baylor College of Medicine, Houston, 77030, USA

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Ankit B. Patel

1Department of Neuroscience, Baylor College of Medicine, Houston, 77030, USA

3Department of Electrical and Computer Engineering, Rice University, Houston, 77005, USA

4Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, 77030, USA

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Andreas S. Tolias

1Department of Neuroscience, Baylor College of Medicine, Houston, 77030, USA

3Department of Electrical and Computer Engineering, Rice University, Houston, 77005, USA

4Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, 77030, USA

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For correspondence: xaq@rice.edu

Xaq Pitkow

1Department of Neuroscience, Baylor College of Medicine, Houston, 77030, USA

3Department of Electrical and Computer Engineering, Rice University, Houston, 77005, USA

4Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, 77030, USA

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ORCID record for Xaq Pitkow
For correspondence: xaq@rice.edu

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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 B. Patel, Andreas S. Tolias, Xaq Pitkow

bioRxiv 2022.01.31.478509; doi: https://doi.org/10.1101/2022.01.31.478509

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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 B. Patel, Andreas S. Tolias, Xaq Pitkow

bioRxiv 2022.01.31.478509; doi: https://doi.org/10.1101/2022.01.31.478509

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