[visionlist] Special Issue: What do deep neural networks tell us about biological vision (Vision Research)

Leek, Charles Charles.Leek at liverpool.ac.uk
Fri May 20 08:13:30 -04 2022

We are pleased to announce the publication of a Special Issue in Vision Research:

What do deep neural networks tell us about biological vision
Editors: Charles Leek (University of Liverpool, UK), Ales Leonardis  & Dietmar Heinke (University of Birmingham, UK)

The issue can be accessed here: https://www.sciencedirect.com/journal/vision-research/special-issue/10LS1285VRD

What do deep neural networks tell us about biological vision?<https://www.sciencedirect.com/science/article/pii/S004269892200075X>

Dietmar Heinke, Ales Leonardis, E. Charles Leek

September 2022

Article 108069

Deep neural networks and image classification in biological vision<https://www.sciencedirect.com/science/article/pii/S0042698922000645>

E. Charles Leek, Ales Leonardis, Dietmar Heinke

August 2022

Article 108058

Deciphering image contrast in object classification deep networks<https://www.sciencedirect.com/science/article/pii/S0042698920300766>

Arash Akbarinia, Raquel Gil-Rodríguez

August 2020

Pages 61-76

Can machine learning account for human visual object shape similarity judgments?<https://www.sciencedirect.com/science/article/pii/S0042698919302147>

Joseph Scott German, Robert A. Jacobs

February 2020

Pages 87-99

Exploring biological motion perception in two-stream convolutional neural networks<https://www.sciencedirect.com/science/article/pii/S0042698920301656>

Yujia Peng, Hannah Lee, Tianmin Shu, Hongjing Lu

January 2021

Pages 28-40

Color for object recognition: Hue and chroma sensitivity in the deep features of convolutional neural networks<https://www.sciencedirect.com/science/article/pii/S004269892100016X>

Alban Flachot, Karl R. Gegenfurtner

May 2021

Pages 89-100

Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications<https://www.sciencedirect.com/science/article/pii/S0042698920301243>

A. Gomez-Villa, A. Martín, J. Vazquez-Corral, M. Bertalmío, J. Malo

November 2020

Pages 156-174

Local features and global shape information in object classification by deep convolutional neural networks<https://www.sciencedirect.com/science/article/pii/S0042698920300638>

Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman

July 2020

Pages 46-61

Crowding reveals fundamental differences in local vs. global processing in humans and machines<https://www.sciencedirect.com/science/article/pii/S0042698919302299>

A. Doerig, A. Bornet, O.H. Choung, M.H. Herzog

February 2020

Pages 39-45

A failure to learn object shape geometry: Implications for convolutional neural networks as plausible models of biological vision<https://www.sciencedirect.com/science/article/pii/S0042698921002017>

Dietmar Heinke, Peter Wachman, Wieske van Zoest, E. Charles Leek

December 2021

Pages 81-92

Hiding a plane with a pixel: examining shape-bias in CNNs and the benefit of building in biological constraints<https://www.sciencedirect.com/science/article/pii/S0042698920300742>

Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers

September 2020

Pages 57-68

Are there any ‘object detectors’ in the hidden layers of CNNs trained to identify objects or scenes?<https://www.sciencedirect.com/science/article/pii/S0042698920301140>

Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers

November 2020

Pages 60-71

3D shape estimation in a constraint optimization neural network<https://www.sciencedirect.com/science/article/pii/S0042698920301528>

Pallavi Mishra, Sébastien Hélie

December 2020

Pages 118-129

Lessons from reinforcement learning for biological representations of space<https://www.sciencedirect.com/science/article/pii/S0042698920300997>

Alex Muryy, N. Siddharth, Nantas Nardelli, Andrew Glennerster, Philip H.S. Torr

September 2020

Pages 79-93

Time-resolved correspondences between deep neural network layers and EEG measurements in object processing<https://www.sciencedirect.com/science/article/pii/S0042698920300651>

Nathan C.L. Kong, Blair Kaneshiro, Daniel L.K. Yamins, Anthony M. Norcia

July 2020

Pages 27-45

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