Visual perception in deep neural networks

Project Information

DEEPCEPTION

Grant agreement ID: 705498

DOI 10.3030/705498

Project closed

EC signature date 29 February 2016

Start date 1 October 2016

End date 30 September 2019

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 258 530,40

EU contribution € 258 530,40

Coordinated by

KATHOLIEKE UNIVERSITEIT LEUVEN
Belgium

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Predict, then simplify

Author(s): Jonas Kubilius
Published in: NeuroImage, Issue 180, 2018, Page(s) 110-111, ISSN 1053-8119
Publisher: Academic Press
DOI: 10.1016/j.neuroimage.2017.12.006

Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior

Author(s): Kohitij Kar, Jonas Kubilius, Kailyn Schmidt, Elias B. Issa, James J. DiCarlo
Published in: Nature Neuroscience, Issue 22/6, 2019, Page(s) 974-983, ISSN 1097-6256
Publisher: Nature Publishing Group
DOI: 10.1038/s41593-019-0392-5

Conference proceedings (4)

Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System

Author(s): Chengxu Zhuang, Jonas Kubilius, Mitra Hartmann, Daniel Yamins
Published in: Advances in Neural Information Processing Systems 30 (NIPS 2017), 2017, Page(s) 2555--2565
Publisher: Curran Associates, Inc.

Task-Driven Convolutional Recurrent Models of the Visual System

Author(s): Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. Yamins
Published in: Advances in Neural Information Processing Systems 31 (NIPS 2018), 2018, Page(s) 5290-5301
Publisher: -

Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition?

Author(s): Jonas Kubilius, Kohitij Kar, Kailyn Schmidt, James DiCarlo
Published in: 2018 Conference on Cognitive Computational Neuroscience, 2018
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2018.1234-0

Brain-like object recognition with high-performing shallow recurrent ANNs

Author(s): Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Rishi Rajalingham, Ha Hong, Najib J. Majaj, Elias B. Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
Published in: Advances in Neural Information Systems 32 (NeurIPS 2019), 2019, Page(s) 12785-12796
Publisher: -

Other (3)

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

Author(s): Martin Schrimpf, Jonas Kubilius, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Daniel L. K. Yamins, and James J. DiCarlo
Published in: bioRxiv, 2018
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/407007

Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior

Author(s): Kohitij Kar, Jonas Kubilius, Kailyn M. Schmidt, Elias B. Issa, James J. DiCarlo
Published in: bioRxiv, 2018
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/354753

CORnet: Modeling the Neural Mechanisms of Core Object Recognition

Author(s): Jonas Kubilius, Martin Schrimpf, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
Published in: bioRxiv, 2018
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/408385