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

Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

(2018) Rishi Rajalingham et al.   JOURNAL OF NEUROSCIENCE

Recurrent computations for visual pattern completion

(2018) Hanlin Tang et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Task alters category representations in prefrontal but not high-level visual cortex

(2017) Lior Bugatus et al.   NEUROIMAGE

Dynamic representation of partially occluded objects in primate prefrontal and visual cortex

(2017) Amber M Fyall et al.   eLife

Eight open questions in the computational modeling of higher sensory cortex

(2016) Daniel LK Yamins et al.   CURRENT OPINION IN NEUROBIOLOGY

Serial grouping of 2D-image regions with object-based attention in humans

(2016) Danique Jeurissen et al.   eLife

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance

(2015) N. J. Majaj et al.   JOURNAL OF NEUROSCIENCE

Comparison of Object Recognition Behavior in Human and Monkey

(2015) R. Rajalingham et al.   JOURNAL OF NEUROSCIENCE

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

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

A Source for Feature-Based Attention in the Prefrontal Cortex

(2015) Narcisse P. Bichot et al.   NEURON

Task Dependence of Visual and Category Representations in Prefrontal and Inferior Temporal Cortices

(2014) J. L. McKee et al.   JOURNAL OF NEUROSCIENCE

Time to wave good-bye to phase scrambling: Creating controlled scrambled images using diffeomorphic transformations

(2014) B. Stojanoski et al.   JOURNAL OF VISION

Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex

(2014) Timo van Kerkoerle et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

How Does the Brain Solve Visual Object Recognition?

(2012) James J. DiCarlo et al.   NEURON

Contrast induced changes in response latency depend on stimulus specificity

(2009) Mike W. Oram   JOURNAL OF PHYSIOLOGY-PARIS

Dynamic Population Coding of Category Information in Inferior Temporal and Prefrontal Cortex

(2008) Ethan M. Meyers et al.   JOURNAL OF NEUROPHYSIOLOGY

How do the basal ganglia contribute to categorization? Their roles in generalization, response selection, and learning via feedback

(2007) Carol A. Seger   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS