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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
Martin Schrimpf grad student 2017- MIT
Syed Suleman Abbas Zaidi grad student 2020- MIT
Asim Iqbal grad student 2015-2016 MIT
Rishi Rajalingham grad student 2013-2018 MIT
Hyodong Lee grad student 2014-2020 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
N Apurva Ratan Murty post-doc 2017- MIT
Yoon Bai post-doc 2020- MIT
Chou P. Hung post-doc 2002-2006 MIT
Davide Zoccolan post-doc 2003-2008 MIT
Xiaoxuan Jia post-doc 2012-2015 MIT
SueYeon Chung post-doc 2018-2019 MIT
Pouya Bashivan post-doc 2016-2020


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SueYeon Chung collaborator 2018- MIT
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Margalit E, Lee H, Finzi D, et al. (2023) A Unifying Principle for the Functional Organization of Visual Cortex. Biorxiv : the Preprint Server For Biology
Zador A, Escola S, Richards B, et al. (2023) Catalyzing next-generation Artificial Intelligence through NeuroAI. Nature Communications. 14: 1597
Nayebi A, Sagastuy-Brena J, Bear DM, et al. (2022) Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off between Task Performance and Network Size during Core Object Recognition. Neural Computation. 1-25
Macpherson T, Churchland A, Sejnowski T, et al. (2021) Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research. Neural Networks : the Official Journal of the International Neural Network Society. 144: 603-613
Ratan Murty NA, Bashivan P, Abate A, et al. (2021) Computational models of category-selective brain regions enable high-throughput tests of selectivity. Nature Communications. 12: 5540
Rajalingham R, Sorenson M, Azadi R, et al. (2021) Chronically implantable LED arrays for behavioral optogenetics in primates. Nature Methods
Jia X, Hong H, DiCarlo J. (2021) Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex. Elife. 10
Zhuang C, Yan S, Nayebi A, et al. (2021) Unsupervised neural network models of the ventral visual stream. Proceedings of the National Academy of Sciences of the United States of America. 118
Tremblay S, Acker L, Afraz A, et al. (2020) An Open Resource for Non-human Primate Optogenetics. Neuron
Kar K, DiCarlo JJ. (2020) Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition. Neuron
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