SueYeon Chung

Center for Neural Science New York University, New York, NY, United States 
Computation & Theory
"SueYeon Chung"
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Haim 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)


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James 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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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
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