Author

Miranda Hulsey-Vincent

University of OregonORCID 0009-0008-0426-9126Unclaimed 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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Approach:deep learning· 1 Approach:machine learning (classical)· 1 Approach:transformer / foundation model· 1 Organism:zebrafish· 1

Frequent Co-Authors

George VengrovskiiD· 2 shared Timothy J. GardneriD· 2 shared Ellen SovaiD· 1 shared Melissa A. BemroseiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersNeuroscience

George VengrovskiORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 14, 2026

Lesions Involving Medial Anterior Forebrain Pathway Circuitry Destabilize Phrase Timing in Adult Canary Song

Miranda Hulsey-Vincent, George Vengrovski, Ellen Sova, Timothy J. Gardner

The paper shows that lesions in the medial part of the Anterior Forebrain Pathway in adult canaries cause stutter-like behavior in song, indicating its role in controlling phrase duration.

DOI 10.64898/2026.07.11.737998

zebrafishmachine learning (classical)

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Animal Behavior & CognitionPatternsPeer-reviewedMar 3, 2026

TweetyBERT: Automated parsing of birdsong through self-supervised machine learning.

George Vengrovski, Miranda Hulsey-Vincent, Melissa A. Bemrose, Timothy J. Gardner

TweetyBERT is a self-supervised transformer model that parses birdsong without human labels, learning acoustic and temporal patterns in canary song.

1 citation

deep learningtransformer / foundation model

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