Author

Megan Beers Wood

Johns Hopkins UniversityORCID 0000-0002-7405-8067Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Amelie Valles· 1 shared Anna Kohler· 1 shared Benjamin J. SeicoliD· 1 shared Eleftheria SlikaiD· 1 shared Elisabeth GlowatzkiiD· 1 shared Paul Albert FuchsiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Amelie Valles

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2 papers

Recent·Most cited

Machine-Learning-Guided Video Analysis Identifies Sound-Evoked Pain Behaviors from Facial Grimace and Body Cues in Mice

Benjamin J. Seicol, Amelie Valles, Anna Kohler, Elisabeth Glowatzki, Megan Beers Wood

This paper develops a machine learning framework to detect sound-evoked pain in mice by analyzing facial grimace and body position from video recordings, demonstrating its ability to quantify pain responses.

bioRxiv · Sep 30, 2025 · PreprintAnimal Behavior & Cognition

Virally-Mediated Enhancement of Efferent Inhibition Reduces Acoustic Trauma in Wild Type Murine Cochleas.

Eleftheria Slika, Paul Albert Fuchs, Megan Beers Wood

Viral transduction of a gain-of-function nAChR enhances native cholinergic inhibition to protect the cochlea from noise-induced hearing loss.

Molecular Therapy — Methods & Clinical Development · Mar 22, 2025Peer-reviewedNeuroscience