☰

cached image

James J. DiCarlo

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
Area:
Visual Cortex
Website:
http://web.mit.edu/dicarlo-lab/index.html
Google:
"James DiCarlo"
Mean distance: 12.52 (cluster 29)
 		SNBCP
Tree Publications Grants Similar researchers PubMed Report error

Parents

Sign in to add mentor
Kenneth O. Johnson grad student Johns Hopkins
John HR Maunsell post-doc Baylor College of Medicine

Children

Sign in to add trainee
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

Collaborators

Sign in to add collaborator
SueYeon Chung collaborator 2018- MIT
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Zhuang C, Xiang V, Bai Y, et al. (2024) How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? Advances in Neural Information Processing Systems. 35: 22628-22642
DiCarlo JJ, Yamins DLK, Ferguson ME, et al. (2024) Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision - CORRIGENDUM. The Behavioral and Brain Sciences. 47: e66
Peters B, DiCarlo JJ, Gureckis T, et al. (2024) How does the primate brain combine generative and discriminative computations in vision? Arxiv
Lee MJ, DiCarlo JJ. (2023) How well do rudimentary plasticity rules predict adult visual object learning? Plos Computational Biology. 19: e1011713
DiCarlo JJ, Yamins DLK, Ferguson ME, et al. (2023) Let's move forward: Image-computable models and a common model evaluation scheme are prerequisites for a scientific understanding of human vision. The Behavioral and Brain Sciences. 46: e390
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
See more...