Deep Neural Networks and Biological Vision Special Issue

Feature Editors

Nikolaus Kriegeskorte, Columbia University
Denis Pelli, New York University
Cristina Savin, New York University
Felix Wichmann, University of Tübingen

Articles will be added as they are published. Original call for papers available here.

Influence of training and expertise on deep neural network attention and human attention during a medical image classification task Open Access
Rémi Vallée, Tristan Gomez, Arnaud Bourreille, Nicolas Normand, Harold Mouchère, Antoine Coutrot
Journal of Vision April 2024, Vol.24, 6. https://doi.org/10.1167/jov.24.4.6
The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks Open Access
Lukas S. Huber, Robert Geirhos, Felix A. Wichmann
Journal of Vision July 2023, Vol.23, 4. https://doi.org/10.1167/jov.23.7.4
When will AI misclassify? Intuiting failures on natural images Open Access
Makaela Nartker, Zhenglong Zhou, Chaz Firestone
Journal of Vision April 2023, Vol.23, 4. https://doi.org/10.1167/jov.23.4.4
On the synthesis of visual illusions using deep generative models Open Access
Alex Gomez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío, Jesús Malo
Journal of Vision July 2022, Vol.22, 2. https://doi.org/10.1167/jov.22.8.2
Could simplified stimuli change how the brain performs visual search tasks? A deep neural network study Open Access
David A. Nicholson, Astrid A. Prinz
Journal of Vision June 2022, Vol.22, 3. https://doi.org/10.1167/jov.22.7.3
Contrast sensitivity functions in autoencoders Open Access
Qiang Li, Alex Gomez-Villa, Marcelo Bertalmío, Jesús Malo
Journal of Vision May 2022, Vol.22, 8. https://doi.org/10.1167/jov.22.6.8
DeepGaze III: Modeling free-viewing human scanpaths with deep learning Open Access
Matthias Kümmerer, Matthias Bethge, Thomas S. A. Wallis
Journal of Vision April 2022, Vol.22, 7. https://doi.org/10.1167/jov.22.5.7
Deep neural models for color classification and color constancy Open Access
Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner
Journal of Vision March 2022, Vol.22, 17. https://doi.org/10.1167/jov.22.4.17
Distinguishing mirror from glass: A “big data” approach to material perception Open Access
Hideki Tamura, Konrad Eugen Prokott, Roland W. Fleming
Journal of Vision March 2022, Vol.22, 4. https://doi.org/10.1167/jov.22.4.4
End-to-end optimization of prosthetic vision Open Access
Jaap de Ruyter van Steveninck, Umut Güçlü, Richard van Wezel, Marcel van Gerven
Journal of Vision February 2022, Vol.22, 20. https://doi.org/10.1167/jov.22.2.20
Inference via sparse coding in a hierarchical vision model Open Access
Joshua Bowren, Luis Sanchez-Giraldo, Odelia Schwartz
Journal of Vision February 2022, Vol.22, 19. https://doi.org/10.1167/jov.22.2.19
From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction Open Access
Johannes J. D. Singer, Katja Seeliger, Tim C. Kietzmann, Martin N. Hebart
Journal of Vision February 2022, Vol.22, 4. https://doi.org/10.1167/jov.22.2.4
FP-nets as novel deep networks inspired by vision Open Access
Philipp Grüning, Thomas Martinetz, Erhardt Barth
Journal of Vision January 2022, Vol. 22, 8. https://doi.org/10.1167/jov.22.1.8
Use of superordinate labels yields more robust and human-like visual representations in convolutional neural networks Open Access
Seoyoung Ahn, Gregory J. Zelinsky, Gary Lupyan
Journal of Vision December 2021, Vol. 21, 13. https://doi.org/10.1167/jov.21.13.13
Recurrent processing improves occluded object recognition and gives rise to perceptual hysteresis Open Access
Markus R. Ernst, Thomas Burwick, Jochen Triesch
Journal of Vision December 2021, Vol.21, 6. https://doi.org/10.1167/jov.21.13.6
Gloss perception: Searching for a deep neural network that behaves like humans Open Access
Konrad Eugen Prokott, Hideki Tamura, Roland W. Fleming
Journal of Vision November 2021, Vol.21, 14. https://doi.org/10.1167/jov.21.12.14
Convolutional neural networks trained with a developmental sequence of blurry to clear images reveal core differences between face and object processing Open Access
Hojin Jang, Frank Tong
Journal of Vision October 2021, Vol.21, 6. https://doi.org/10.1167/jov.21.12.6
ImageNet-trained deep neural networks exhibit illusion-like response to the Scintillating grid Open Access
Eric D. Sun, Ron Dekel
Journal of Vision October 2021, Vol.21, 15. https://doi.org/10.1167/jov.21.11.15
Evaluating the progress of deep learning for visual relational concepts Open Access
Sebastian Stabinger, David Peer, Justus Piater, Antonio Rodríguez-Sánchez
Journal of Vision October 2021, Vol.21, 8. https://doi.org/10.1167/jov.21.11.8
A comparative biology approach to DNN modeling of vision: A focus on differences, not similarities Open Access
Ben Lonnqvist, Alban Bornet, Adrien Doerig, Michael H. Herzog
Journal of Vision September 2021, Vol.21, 17. https://doi.org/10.1167/jov.21.10.17
Training for object recognition with increasing spatial frequency: A comparison of deep learning with human vision Open Access
Lev Kiar Avberšek, Astrid Zeman, Hans Op de Beeck
Journal of Vision September 2021, Vol.21, 14. https://doi.org/10.1167/jov.21.10.14
Which deep learning model can best explain object representations of within-category exemplars? Open Access
Dongha Lee
Journal of Vision September 2021, Vol.21, 12. https://doi.org/10.1167/jov.21.10.12
Closing the gap between single-unit and neural population codes: Insights from deep learning in face recognition Open Access
Connor J. Parde, Y. Ivette Colón, Matthew Q. Hill, Carlos D. Castillo, Prithviraj Dhar, Alice J. O’Toole
Journal of Vision August 2021, Vol. 21, 15. https://doi.org/10.1167/jov.21.8.15
Biased orientation representations can be explained by experience with nonuniform training set statistics Open Access
Margaret Henderson, John T. Serences
Journal of Vision August 2021, Vol. 21, 10. https://doi.org/10.1167/jov.21.8.10
Binocular vision supports the development of scene segmentation capabilities: Evidence from a deep learning model Open Access
Ross Goutcher, Christian Barrington, Paul B. Hibbard, Bruce Graham
Journal of Vision July 2021, Vol.21, 13. https://doi.org/10.1167/jov.21.7.13
A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes Open Access
Michele Svanera, Andrew T. Morgan, Lucy S. Petro, Lars Muckli
Journal of Vision July 2021, Vol.21, 5. https://doi.org/10.1167/jov.21.7.5
A deep-learning framework for human perception of abstract art composition Open Access
Pierre Lelièvre, Peter Neri
Journal of Vision May 2021, Vol.21, 9. https://doi.org/10.1167/jov.21.5.9
Facial expression is retained in deep networks trained for face identification Open Access
Y. Ivette Colón, Carlos D. Castillo, Alice J. O’Toole
Journal of Vision April 2021, Vol.21, 4. https://doi.org/10.1167/jov.21.4.4
Five points to check when comparing visual perception in humans and machines Open Access
Christina M. Funke, Judy Borowski, Karolina Stosio, Wieland Brendel, Thomas S. A. Wallis, Matthias Bethge
Journal of Vision March 2021, Vol.21, 16. https://doi.org/10.1167/jov.21.3.16
Exploring and explaining properties of motion processing in biological brains using a neural network Open Access
Reuben Rideaux, Andrew E. Welchman
Journal of Vision February 2021, Vol.21, 11. https://doi.org/10.1167/jov.21.2.11
The human visual system and CNNs can both support robust online translation tolerance following extreme displacements Open Access
Ryan Blything, Valerio Biscione, Ivan I. Vankov, Casimir J. H. Ludwig, Jeffrey S. Bowers
Journal of Vision February 2021, Vol.21, 9. https://doi.org/10.1167/jov.21.2.9
Selectivity and robustness of sparse coding networks Open Access
Dylan M. Paiton, Charles G. Frye, Sheng Y. Lundquist, Joel D. Bowen, Ryan Zarcone, Bruno A. Olshausen
Journal of Vision November 2020, Vol.20, 10. https://doi.org/10.1167/jov.20.12.10
A dual foveal-peripheral visual processing model implements efficient saccade selection Open Access
Emmanuel Daucé, Pierre Albiges, Laurent U. Perrinet
Journal of Vision August 2020, Vol.20, 22. https://doi.org/10.1167/jov.20.8.22
Deep learning—Using machine learning to study biological vision Open Access
Najib J. Majaj, Denis G. Pelli
Journal of Vision December 2018, Vol.18, 2. https://doi.org/10.1167/18.13.2

Deep Neural Networks and Biological Vision Special Issue

Feature Editors

To View More...

You must be signed into an individual account to use this feature.