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James J. DiCarlo

Massachusetts Institute of Technology, Cambridge, MA, United States 
Visual Cortex
"James DiCarlo"
Mean distance: 12.52 (cluster 29)


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J. Patrick Mayo research assistant 2002-2003 MIT
Pantea Moghimi research assistant 2009-2011 Brain and Cognitive Science, MIT
Paul Aparicio grad student MIT
David Cox grad student Brain and Cognitive Science, MIT
Nuo Li grad student MIT
Nicholas Pinto grad student MIT
Michael Jinsuk Lee grad student 2016- MIT
Rishi Rajalingham grad student 2013-2018 MIT
Charles F. Cadieu post-doc MIT
Elias B. Issa post-doc MIT
Tiago Marques post-doc MIT
Hans Op de Beeck post-doc MIT
Daniel L K Yamins post-doc MIT
Nicole C. Rust post-doc 2006- MIT
Najib J. Majaj post-doc 2007- MIT
Arash (Seyed Reza) Afraz post-doc 2009- MIT
Kohitij Kar post-doc 2015- MIT
Pouya Bashivan post-doc 2016-
N Apurva Ratan Murty post-doc 2017- MIT
Chou P. Hung post-doc 2002-2006 MIT
Davide Zoccolan post-doc 2003-2008 MIT
Xiaoxuan Jia post-doc 2012-2015 MIT
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Bashivan P, Kar K, DiCarlo JJ. (2019) Neural population control via deep image synthesis. Science (New York, N.Y.). 364
Kar K, Kubilius J, Schmidt K, et al. (2019) Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior. Nature Neuroscience
Rajalingham R, DiCarlo JJ. (2019) Reversible Inactivation of Different Millimeter-Scale Regions of Primate IT Results in Different Patterns of Core Object Recognition Deficits. Neuron
Issa EB, Cadieu CF, DiCarlo JJ. (2018) Neural dynamics at successive stages of the ventral visual stream are consistent with hierarchical error signals. Elife. 7
Rajalingham R, Issa EB, Bashivan P, et al. (2018) Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Aparicio PL, Issa E, DiCarlo JJ. (2016) Neurophysiological organization of the middle face patch in macaque inferior temporal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Yamins DL, DiCarlo JJ. (2016) Eight open questions in the computational modeling of higher sensory cortex. Current Opinion in Neurobiology. 37: 114-120
Yamins DL, DiCarlo JJ. (2016) Using goal-driven deep learning models to understand sensory cortex. Nature Neuroscience. 19: 356-65
Hong H, Yamins DL, Majaj NJ, et al. (2016) Explicit information for category-orthogonal object properties increases along the ventral stream. Nature Neuroscience
Majaj NJ, Hong H, Solomon EA, et al. (2015) Simple Learned Weighted Sums of Inferior Temporal Neuronal Firing Rates Accurately Predict Human Core Object Recognition Performance. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 35: 13402-18
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