Author

Jeff L. Rhoades

Harvard UniversityORCID 0000-0001-5077-2533Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Organism:mouse· 2 Approach:statistical model· 2 Organism:human· 1 Assay:imaging· 1 Approach:microscopy & imaging analysis· 1 Approach:simulation· 1

Frequent Co-Authors

Alyson PetruncioiD· 1 shared Arlo SheridaniD· 1 shared Aubrey V. WeigeliD· 1 shared Carol L. WilkinsoniD· 1 shared CellMap Project Team· 1 shared Charles A. NelsoniD· 1 shared Christopher K. E. BleckiD· 1 shared David AckermaniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperCell Biology

Alyson PetruncioORCID

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3 papers

Recent·Most cited

Cell BiologybioRxivPreprintSep 5, 2024

Data Release: High-Resolution Imaging and Segmentation of P7 Mouse Tissue Microarchitecture Using FIB-SEM and Machine Learning

David Ackerman, Emma Avetissian, Christopher K. E. Bleck…·CellMap Project Team

The paper releases high-resolution 3D imaging and nucleus segmentations of seven tissues from a P7 mouse using FIB-SEM and machine learning.

1 citation

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NeurosciencebioRxivPreprintJul 21, 2023

Developmental trajectories of EEG aperiodic and periodic power: Implications for understanding thalamocortical development during infancy.

Carol L. Wilkinson, Lisa D. Yankowitz, Jerry Y. Chao…·Charles A. Nelson

The paper analyzes longitudinal EEG data from infants to identify age-related changes in periodic and aperiodic power, linking these changes to thalamocortical network development.

3 citations

humanelectronic health records

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NeuroscienceNaturePeer-reviewedNov 23, 2022

Structured connectivity in the cerebellum enables noise-resilient pattern separation

Tri Nguyen, Logan A. Thomas, Jeff L. Rhoades…·Wei-Chung Allen Lee

The paper maps cerebellar connectivity in mice and shows how structured, non-random motifs improve pattern separation while maintaining encoding capacity.

83 citationstop 2%

mouseelectronic health records

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