Author

Chi-Ning Chou

Flatiron InstituteORCID 0000-0001-9089-2003Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:multiple species· 1 Research Focus:trajectory inference· 1 Organism:zebrafish· 1

Frequent Co-Authors

SueYeon ChungiD· 2 shared Benjamin TitzeiD· 1 shared Bo HuiD· 1 shared Brett D. MenshiD· 1 shared Claire Meissner-BernardiD· 1 shared Luke A. Arend· 1 shared Matthew G. PerichiD· 1 shared Nesibe Z. TemiziD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

SueYeon ChungORCID

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2 papers

Recent·Most cited

Representational learning by optimization of neural manifolds in an olfactory memory network

Bo Hu, Nesibe Z. Temiz, Chi-Ning Chou, Peter Rupprecht, Claire Meissner-Bernard, Benjamin Titze, SueYeon Chung, Rainer W. Friedrich

The paper analyzes how olfactory memory in zebrafish is represented through neural manifolds, finding that training enhances the separation of task-relevant odor representations.

Nature Neuroscience · Sep 10, 2026Peer-reviewedNeuroscience

Geometry Linked to Untangling Efficiency Reveals Structure and Computation in Neural Populations

Chi-Ning Chou, Royoung Kim, Luke A. Arend, Yao-Yuan Yang, Brett D. Mensh, Won Mok Shim, Matthew G. Perich, SueYeon Chung

This paper introduces GLUE, a framework linking neural activity geometry to computational efficiency, showing task-relevant representations untangle across various domains.

bioRxiv · Feb 26, 2024 · PreprintNeuroscience