Faculty

Institution

Unit

Venue

SueYeon Chung

Assistant Professor of Neural Science

New York University

Affiliations

Arts & Science

Neural Science

Sueyeon Chung is currently serving as an Arts & Science Assistant Professor of Neural Science at New York University.

Honors

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Experiences

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Education

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SueYeon Chung

New York University

Assistant Professor of Neural Science

You can click a keyword to filter the displayed items

neuroscience computational neuroscience machine learning cognitive science neural computation cognitive neuroscience manifold learning image representation machine learning research neural network (machine learning) deep learning applied mathematics computer science computational intelligence systems neuroscience visual science geometric learning manifold modeling machine vision computer vision nonlinear dimensionality reduction visual processing neural population geometry animal cognition neurolinguistics vision research neural science object recognition perception system artificial neural networks object manifolds hierarchical phrase structure geometric topology general linguistics spatial cognition language science recurrent neural networks multisensory integration brain organization image coding deep neural networks pretrained language models linear readout hippocampal coactivity dynamics place fields information fusion hearing research mathematical optimization cellular physiology molecular cell biology soft computing animal behavior object categorization speech technology computational learning theory neural architecture search neural scaling law bioacoustics auditory science syntactic structure syntactic parsing supervised learning cell manipulation cell polarity brain-like computing learning theory sensory science sequence alignment adversarial machine learning classification capacity convex manifolds representative manifolds general manifolds readout perceptron capacity invariant speech recognition acoustic information bio-inspired computation neural networks neuroinformatics brain modeling data science

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models. Findings of the Association for Computational Linguistics: NAACL 2022 (2025)

neurolinguisticslanguage modelscognitioncognitive sciencenatural languagelanguage adaptationpsycholinguisticslanguage sciencelanguagelanguage comprehensionlanguage processing in the braintask adaptationlanguage learningdistinct mechanismslinguistics

Variations in Neuronal Selectivity Create Efficient Representational Geometries for Perception. bioRxiv (Cold Spring Harbor Laboratory) (2025)

visual perceptionvisual processingneurosciencecognitive scienceneuronal selectivityvisual scienceperception systemcomputational neuroscienceimage representation

Contrastive-Equivariant Self-Supervised Learning Improves Alignment With Primate Visual Area It.. PubMed (2024)

Thomas YerxaJenelle FeatherEero P SimoncelliSueYeon Chung

self-supervised learningprimate visual areacontrastive-equivariant self-supervised learningvisual perceptionprimate behaviormachine learningneuroimagingvisual systemneurosciencecognitive scienceanimal cognitionvisual scienceearly visioncognitive neuroscience

Geometric Changes in Monkey V4 and It Neural Responses During Visual Category Learning. Journal of Vision (2024)

Jenelle FeatherLong ShaGouki OkazawaNga Yu LoSueYeon ChungRoozbeh Kiani

visual perceptionvision researchgeometric changesvisual category learningvisual systemneurosciencevisual scienceneural responses

Neural Manifold Capacity Captures Representation Geometry, Correlations, and Task-Efficiency Across Species and Behaviors. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Chi-Ning ChouLuke ArendAlbert J. WakhlooRoyoung KimWill SlattonSueYeon Chung

animal behaviorbrain organizationspatial cognitionbehavioral ecologyneural manifold capacityneurosciencecognitive scienceanimal cognitionrepresentation geometryneuroanatomysystems biologyadaptationsystems neurosciencecognitive neurosciencecomputational neurosciencebehavioral neuroscience

Neural Population Geometry and Optimal Coding of Tasks With Shared Latent Structure. arXiv (Cornell University) (2024)

Wakhloo, Albert J.Slatton, WillChung, SueYeon

neural population geometryneurosciencecognitive scienceoptimal codingcentral nervous systemsystems neurosciencecognitive neurosciencecomputational neuroscience

Representational Learning by Optimization of Neural Manifolds in an Olfactory Memory Network. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Bo HuNesibe Z. TemizChi-Ning ChouPeter RupprechtClaire Meissner-BernardBenjamin TitzeSueYeon ChungRainer W. Friedrich

machine learningneural manifoldsneuroscienceneural network (machine learning)neural computationrepresentational learningolfactory memory networkcomputational neuroscience

A Manifold Neural Population Code for Space in Hippocampal Coactivity Dynamics Independent of Place Fields. Cell Reports (2023)

Eliott Robert Joseph LevySimón Carrillo-SeguraEun Hye ParkWilliam Thomas RedmanJosé Rafael HurtadoSueYeon ChungAndré Antonio Fenton

spatial cognitionhippocampal coactivity dynamicsneurosciencecognitive scienceneuroanatomyneural scienceplace fieldssystems neurosciencecell biologyneurophysiologycognitive neurosciencecomputational neuroscience

A Spectral Theory of Neural Prediction and Alignment. arXiv (Cornell University) (2023)

Canatar, AbdulkadirFeather, JenelleWakhloo, AlbertChung, SueYeon

sequence alignmentneural predictionneurosciencespectral theorycognitive neuroscience

Invited Session III: Neural Network Models of the Visual System: Neural Population Geometry: An Approach for Understanding Biological and Artificial Neural Networks. Journal of Vision (2023)

SueYeon Chung

neural network modelsartificial neural networksvisual perceptionvision researchvisual systemneuroscienceneural population geometryneural network (machine learning)

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SueYeon Chung

Assistant Professor of Neural Science

New York University

Affiliations

Arts & Science

Neural Science

Sueyeon Chung is currently serving as an Arts & Science Assistant Professor of Neural Science at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

SueYeon Chung

New York University

Assistant Professor of Neural Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models. Findings of the Association for Computational Linguistics: NAACL 2022 (2025)

Variations in Neuronal Selectivity Create Efficient Representational Geometries for Perception. bioRxiv (Cold Spring Harbor Laboratory) (2025)

visual perceptionvisual processingneurosciencecognitive scienceneuronal selectivityvisual scienceperception systemcomputational neuroscienceimage representation

Contrastive-Equivariant Self-Supervised Learning Improves Alignment With Primate Visual Area It.. PubMed (2024)

Thomas YerxaJenelle FeatherEero P SimoncelliSueYeon Chung

Geometric Changes in Monkey V4 and It Neural Responses During Visual Category Learning. Journal of Vision (2024)

Jenelle FeatherLong ShaGouki OkazawaNga Yu LoSueYeon ChungRoozbeh Kiani

visual perceptionvision researchgeometric changesvisual category learningvisual systemneurosciencevisual scienceneural responses

Neural Manifold Capacity Captures Representation Geometry, Correlations, and Task-Efficiency Across Species and Behaviors. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Chi-Ning ChouLuke ArendAlbert J. WakhlooRoyoung KimWill SlattonSueYeon Chung

Neural Population Geometry and Optimal Coding of Tasks With Shared Latent Structure. arXiv (Cornell University) (2024)

Wakhloo, Albert J.Slatton, WillChung, SueYeon

neural population geometryneurosciencecognitive scienceoptimal codingcentral nervous systemsystems neurosciencecognitive neurosciencecomputational neuroscience

Representational Learning by Optimization of Neural Manifolds in an Olfactory Memory Network. bioRxiv (Cold Spring Harbor Laboratory) (2024)

Bo HuNesibe Z. TemizChi-Ning ChouPeter RupprechtClaire Meissner-BernardBenjamin TitzeSueYeon ChungRainer W. Friedrich

machine learningneural manifoldsneuroscienceneural network (machine learning)neural computationrepresentational learningolfactory memory networkcomputational neuroscience

A Manifold Neural Population Code for Space in Hippocampal Coactivity Dynamics Independent of Place Fields. Cell Reports (2023)

Eliott Robert Joseph LevySimón Carrillo-SeguraEun Hye ParkWilliam Thomas RedmanJosé Rafael HurtadoSueYeon ChungAndré Antonio Fenton

A Spectral Theory of Neural Prediction and Alignment. arXiv (Cornell University) (2023)

Canatar, AbdulkadirFeather, JenelleWakhloo, AlbertChung, SueYeon

sequence alignmentneural predictionneurosciencespectral theorycognitive neuroscience

Invited Session III: Neural Network Models of the Visual System: Neural Population Geometry: An Approach for Understanding Biological and Artificial Neural Networks. Journal of Vision (2023)

SueYeon Chung

neural network modelsartificial neural networksvisual perceptionvision researchvisual systemneuroscienceneural population geometryneural network (machine learning)

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