Author

Yuanyi Ding

University of California, Los AngelesORCID 0009-0006-5566-675XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:electronic health records· 2 Research Focus:cell-cell communication· 1 Organism:human· 1 Research Focus:spatial domain detection· 1 Research Focus:trajectory inference· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Vwani RoychowdhuryiD· 2 shared Yipeng ZhangiD· 2 shared Aditya Datta· 1 shared Aria FallahiD· 1 shared Ariane E. RhoneiD· 1 shared Atsuro DaidaiD· 1 shared Cesar Santana‐GomeziD· 1 shared Chenda DuaniD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Vwani RoychowdhuryORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 1, 2025

Reading specific memories from human neurons before and after sleep

Yuanyi Ding, Soraya L. S. Dunn, John J. Sakon…·Itzhak Fried

This paper develops a transformer model to decode specific memories from human neuronal activity before and after sleep, finding differential contributions from brain regions.

DOI 10.1101/2025.07.01.662486

humanelectronic health records

𝕏 PostBluesky

NeuroscienceJournal of Neural EngineeringPeer-reviewedMay 9, 2024

PyHFO: Lightweight Deep Learning-poweredEnd-to-End High-Frequency Oscillations AnalysisApplication

Yipeng Zhang, Lawrence Liu, Yuanyi Ding…·Vwani Roychowdhury

PyHFO is a lightweight deep learning platform for efficient HFO detection in EEG data, achieving 50x speed improvements over standard methods.

19 citationstop 4%

electronic health recordsdeep learning

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