Author

Eva Yezerets

Johns Hopkins UniversityORCID 0000-0003-3054-8061Unclaimed 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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Assay:electronic health records· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Organism:C. elegans· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Organism:mouse· 1

Frequent Co-Authors

Adam S. CharlesiD· 2 shared Aamna LawrenceiD· 1 shared Noga MudrikiD· 1 shared Patricia H. JanakiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersNeuroscience

Adam S. CharlesORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 2, 2026

Uncovering internal states with a robust shared-state multi-neuron GLM-HMM framework

Aamna Lawrence, Eva Yezerets, Patricia H. Janak, Adam S. Charles

This paper introduces a robust GLM-HMM framework for analyzing neural data to uncover latent internal states and their relationship to behavior.

DOI 10.64898/2026.06.27.734988

non-human primatemouse

𝕏 PostBluesky

NeuroscienceCommunications BiologyPeer-reviewedAug 13, 2025

Decomposed Linear Dynamical Systems (dLDS) models reveal context-dependent dynamic connectivity in C. elegans

Eva Yezerets, Noga Mudrik, Adam S. Charles

This paper introduces dLDS models to analyze dynamic neural connectivity in C. elegans, revealing context-dependent changes in neural interactions during task-switching and adaptation.

7 citations

C. eleganselectronic health records

𝕏 PostBluesky