Deep convolutional networks do not classify based on global object shape

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

(2016) Radoslaw Martin Cichy et al.   Scientific Reports

Deep Neural Networks as a Computational Model for Human Shape Sensitivity

(2016) Jonas Kubilius et al.   PLoS Computational Biology

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

(2015) U. Guclu et al.   JOURNAL OF NEUROSCIENCE

Performance-optimized hierarchical models predict neural responses in higher visual cortex

(2014) D. L. K. Yamins et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

(2014) Charles F. Cadieu et al.   PLoS Computational Biology

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

(2014) Seyed-Mahdi Khaligh-Razavi et al.   PLoS Computational Biology

Cue dynamics underlying rapid detection of animals in natural scenes

(2009) J. H. Elder et al.   JOURNAL OF VISION