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 mentor| 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) | ||||
Children
Sign in to add trainee| Yichen Wang | research assistant | 2023-2025 | NYU |
| Jenelle Feather | post-doc | 2022- | Flatiron Institute |
Collaborators
Sign in to add collaborator| James J. DiCarlo | collaborator | 2018- | MIT |
| Josh H. McDermott | collaborator | 2018- | MIT |
| Roozbeh Kiani | collaborator | 2022- | NYU |
| J Anthony Movshon | collaborator | 2022- | NYU |
BETA: Related publications
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Publications
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| Ligeralde A, Kuang Y, Yerxa TE, et al. (2023) Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry. Arxiv |
| Levy ERJ, Carrillo-Segura S, Park EH, et al. (2023) A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields. Cell Reports. 42: 113142 |
| Paraouty N, Yao JD, Varnet L, et al. (2023) Sensory cortex plasticity supports auditory social learning. Nature Communications. 14: 5828 |
| Barabási DL, Bianconi G, Bullmore E, et al. (2023) Neuroscience Needs Network Science. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 43: 5989-5995 |
| Wakhloo AJ, Sussman TJ, Chung S. (2023) Linear Classification of Neural Manifolds with Correlated Variability. Physical Review Letters. 131: 027301 |
| Feather J, Chung S. (2023) Unveiling the benefits of multitasking in disentangled representation formation. Trends in Cognitive Sciences. 27: 699-701 |
| Yao JD, Zemlianova KO, Hocker DL, et al. (2023) Transformation of acoustic information to sensory decision variables in the parietal cortex. Proceedings of the National Academy of Sciences of the United States of America. 120: e2212120120 |
| 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 |