Author

Rachel S Lee

Princeton UniversityORCID 0000-0001-7984-1942Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Rachel S. Lee1 paper · Duke University

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Ilana B. WitteniD· 2 shared Nathaniel D. DawiD· 2 shared Ben Engelhard· 1 shared Marcelo Gomes MattariD· 1 shared Nathan F. Parker· 1 shared Yotam SagiviD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 11 mutual co-author links

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2 shared papersNeuroscience

Ilana B. WittenORCID

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2 papers

Recent·Most cited

NeuroscienceNature NeurosciencePeer-reviewedJul 3, 2024

A feature-specific prediction error model explains dopaminergic heterogeneity

Rachel S. Lee, Yotam Sagiv, Ben Engelhard…·Nathaniel D. Daw

The paper introduces a feature-specific reward prediction error model to explain heterogeneity in dopamine neuron responses in the VTA and shows it aligns with neural recordings.

86 citationstop 1%

electronic health recordsdeep learning

𝕏 PostBluesky

NeuroscienceeLifePeer-reviewedApr 4, 2019

Value representations do not explain movement selectivity in DMS-projecting dopamine neurons

Rachel S Lee, Marcelo Gomes Mattar, Nathan F. Parker…·Nathaniel D. Daw

The paper investigates whether movement-related activity in dopamine neurons can be explained by reward prediction error (RPE) and finds that choice encoding is distinct from RPE.

61 citations

mouseelectronic health records

𝕏 PostBluesky