Author

Jie Na Zhou

Northern Illinois UniversityORCID 0000-0002-6002-291XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:host-pathogen & immune response· 1 Assay:imaging· 1 Organism:multiple species· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

Bing YeiD· 1 shared Brendon O. WatsoniD· 1 shared Carolyn E. JonesiD· 1 shared Carrie R. FerrarioiD· 1 shared Cédric SueuriD· 1 shared Geoffrey G. MurphyiD· 1 shared Hanna Carmon· 1 shared Isabelle Baker· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Bing YeORCID

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1 paper

Recent·Most cited

Quantifying social roles in multi-animal videos using subject-aware deep-learning

Kelly Goss, Lézio Soares Bueno-Júnior, Katherine A. Stangis, Théo Ardoin, Hanna Carmon, Jie Na Zhou, Rohan Satapathy, Isabelle Baker, Carolyn E. Jones, Miranda M. Lim, Brendon O. Watson, Cédric Sueur, Carrie R. Ferrario, Geoffrey G. Murphy, Bing Ye, Yujia Hu

This paper introduces a subject-aware deep-learning system to quantify social roles in multi-animal groups across species and assays.

bioRxiv · Jul 7, 2024 · PreprintAnimal Behavior & Cognition