Author

Robyn L. Mildren

Johns Hopkins UniversityORCID 0000-0001-8284-9275Unclaimed 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 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:mouse· 1 Organism:rat· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam S. CharlesiD· 2 shared Kathleen E. CulleniD· 2 shared Aamna LawrenceiD· 1 shared Alexandra ChengiD· 1 shared Austin R. GravesiD· 1 shared Chenhao BaoiD· 1 shared Jennifer I. ColonelliD· 1 shared Sai Koukuntla· 1 shared

Activity by Year

2025-2025 · peak 2/yr

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10 top collaborators · 38 mutual co-author links

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2 shared papersNeuroscience

Adam S. CharlesORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of Neuroscience MethodsPeer-reviewedNov 20, 2025

CUSP: Complex Spike Sorting from Multi-electrode Array Recordings with U-net Sequence-to-Sequence Prediction

Chenhao Bao, Robyn L. Mildren, Adam S. Charles, Kathleen E. Cullen

CUSP is a deep learning framework for automated detection of complex spikes in neural recordings, achieving expert-level performance and robustness to recording artifacts.

DOI 10.1016/j.jneumeth.2025.110631

ratelectronic health records

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NeurosciencebioRxivPreprintJun 20, 2025

SLAy-ing oversplitting errors in high-density electrophysiology spike sorting

Sai Koukuntla, Tate DeWeese, Alexandra Cheng…·Adam S. Charles

SLAy automatically merges oversplit spike units in electrophysiology data, improving efficiency and reproducibility compared to manual methods.

5 citations

mouseelectronic health records

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