SueYeon Chung
Affiliations: | Center for Neural Science | New York University, New York, NY, United States |
Area:
Computation & TheoryWebsite:
https://sites.google.com/site/sueyeonchung/Google:
"SueYeon Chung"Mean distance: (not calculated yet)
Parents
Sign in to add mentorHaim Sompolinsky | grad student | 2010-2017 | Harvard | |
(Statistical Mechanics of Neural Processing of Object Manifolds) | ||||
Larry F. Abbott | post-doc | 2019- | Columbia | |
James J. DiCarlo | post-doc | 2018-2019 | MIT | |
(Fellow in Computation) | ||||
Josh H. McDermott | post-doc | 2018-2019 | MIT | |
(Fellow in Computation) |
Collaborators
Sign in to add collaboratorJames J. DiCarlo | collaborator | 2018- | MIT |
Josh H. McDermott | collaborator | 2018- | MIT |
Roozbeh Kiani | collaborator | 2022- | NYU |
J Anthony Movshon | collaborator | 2022- | NYU |
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Publications
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Chung S, Abbott LF. (2021) Neural population geometry: An approach for understanding biological and artificial neural networks. Current Opinion in Neurobiology. 70: 137-144 |
Cohen U, Chung S, Lee DD, et al. (2020) Separability and geometry of object manifolds in deep neural networks. Nature Communications. 11: 746 |
Chung S, Cohen U, Sompolinsky H, et al. (2018) Learning Data Manifolds with a Cutting Plane Method. Neural Computation. 1-23 |
Chung S, Lee DD, Sompolinsky H. (2018) Classification and Geometry of General Perceptual Manifolds Physical Review X. 8 |
Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54 |
Chung S, Lee DD, Sompolinsky H. (2016) Linear readout of object manifolds. Physical Review. E. 93: 060301 |