Author

G. J. Berman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Animal Behavior & Cognition· 4

Signature Assays, Organisms & Methods

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Assay:behavioral assay· 2 Research Focus:development & morphogenesis· 2 Organism:Drosophila· 2 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Nande· 1 shared B. Zhou· 1 shared C. P. H. Elemans· 1 shared C. Rivera· 1 shared D. G. Hernandez· 1 shared D. M. Choi· 1 shared D. Stern· 1 shared G. Zhang· 1 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. Nande

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4 papers

Recent·Most cited

Driving singing behaviour in songbirds using multi-modal, multi-agent virtual reality

L. B. Larsen, I. Adam, G. J. Berman, J. Hallam, C. P. H. Elemans

The paper develops a virtual reality system for studying social communication in songbirds and introduces an unsupervised song motif detector to manipulate the virtual environment based on song output.

bioRxiv · Oct 20, 2021Animal Behavior & Cognition

Modeling bottlenecks, modularity, and context-dependency in behavioral control

A. Nande, V. Dubinkina, R. Ravasio, G. Zhang, G. J. Berman

This study uses a simple neural network model to explore how information bottlenecks affect behavioral control, showing that modular connectivity improves efficiency but increases context-dependency.

bioRxiv · Aug 6, 2021 · PreprintAnimal Behavior & Cognition

Measuring the repertoire of age-related behavioral changes in Drosophila melanogaster

K. E. Overman, D. M. Choi, K. Leung, J. W. Shaevitz, G. J. Berman

This study measures age-related behavioral changes in Drosophila melanogaster and finds sexually dimorphic patterns linked to metabolic shifts.

bioRxiv · Jun 13, 2021Animal Behavior & Cognition

A framework for studying behavioral evolution by reconstructing ancestral repertoires

D. G. Hernandez, C. Rivera, J. Cande, B. Zhou, D. Stern, G. J. Berman

This paper introduces a framework to study behavioral evolution by estimating ancestral behavioral repertoires using computational methods and behavioral data from fruit flies.

bioRxiv · Jul 17, 2020Animal Behavior & Cognition