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

Submissions are open through February 28, 2021. See the Call for Papers.

Articles will be added as they are published.

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

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