SueYeon Chung

About SueYeon Chung

SueYeon Chung, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Theoretical Neuroscience, Neural Networks, Population Coding, Neural Manifolds, Physics of Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Nonlinear classification of neural manifolds with context information: geometrical properties and storage capacity

Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure

Learning efficient coding of natural images with maximum manifold capacity representations

A spectral theory of neural prediction and alignment

How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?

Neural Manifold Capacity Captures Representation Geometry, Correlations, and Task-Efficiency Across Species and Behaviors

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds

Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry

SueYeon Chung Information

University

Position

MIT

Citations(all)

709

Citations(since 2020)

689

Cited By

150

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

SueYeon Chung Skills & Research Interests

Theoretical Neuroscience

Neural Networks

Population Coding

Neural Manifolds

Physics of Learning

Top articles of SueYeon Chung

Nonlinear classification of neural manifolds with context information: geometrical properties and storage capacity

Bulletin of the American Physical Society

2024/3/7

Chi-Ning Chou
Chi-Ning Chou

H-Index: 6

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Neural Population Geometry and Optimal Coding of Tasks with Shared Latent Structure

arXiv preprint arXiv:2402.16770

2024/2/26

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Learning efficient coding of natural images with maximum manifold capacity representations

Advances in Neural Information Processing Systems

2024/2/13

Sueyeon Chung
Sueyeon Chung

H-Index: 6

A spectral theory of neural prediction and alignment

Advances in Neural Information Processing Systems

2024/2/13

Abdulkadir Canatar
Abdulkadir Canatar

H-Index: 2

Sueyeon Chung
Sueyeon Chung

H-Index: 6

How to optimize neuroscience data utilization and experiment design for advancing primate visual and linguistic brain models?

arXiv preprint arXiv:2401.03376

2024/1/7

Neural Manifold Capacity Captures Representation Geometry, Correlations, and Task-Efficiency Across Species and Behaviors

bioRxiv

2024

Chi-Ning Chou
Chi-Ning Chou

H-Index: 6

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds

2024/1/8

Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry

2023/12/18

Andrew Ligeralde
Andrew Ligeralde

H-Index: 4

Sueyeon Chung
Sueyeon Chung

H-Index: 6

A manifold neural population code for space in hippocampal coactivity dynamics independent of place fields

Cell reports

2023/10/31

Eun Hye Park
Eun Hye Park

H-Index: 10

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Sensory cortex plasticity supports auditory social learning

Nature communications

2023/9/20

Linear classification of neural manifolds with correlated variability

Physical Review Letters

2023/7/12

Tamara J Sussman
Tamara J Sussman

H-Index: 7

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Unveiling the benefits of multitasking in disentangled representation formation

2023/6/23

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Transformation of acoustic information to sensory decision variables in the parietal cortex

Proceedings of the National Academy of Sciences

2023/1/10

The Implicit Bias of Gradient Descent on Generalized Gated Linear Networks

arXiv preprint arXiv:2202.02649

2022/2/5

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Divisive Feature Normalization Improves Image Recognition Performance in AlexNet

2021/10/6

Michelle Miller
Michelle Miller

H-Index: 5

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Advances in Neural Information Processing Systems

2021/12/6

Understanding the Logit Distributions of Adversarially-Trained Deep Neural Networks

arXiv preprint arXiv:2108.12001

2021/8/26

Neeli Mishra
Neeli Mishra

H-Index: 2

Sueyeon Chung
Sueyeon Chung

H-Index: 6

On the geometry of generalization and memorization in deep neural networks

ICLR

2021/5/30

Hanlin Tang
Hanlin Tang

H-Index: 7

Sueyeon Chung
Sueyeon Chung

H-Index: 6

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models

Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)

2021/4/15

See List of Professors in SueYeon Chung University(Columbia University in the City of New York)

Co-Authors

academic-engine