Author

B. Koger

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

Biology Disciplines

Click to filter author papers

Animal Behavior & Cognition· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:software / tool· 1

Frequent Co-Authors

B. R. Costelloe· 2 shared I. D. Couzin· 2 shared J. M. Graving· 2 shared A. Deshpande· 1 shared D. Chae· 1 shared H. Naik· 1 shared J. T. Kerby· 1 shared L. Li· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersAnimal Behavior & Cognition

B. R. Costelloe

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Quantifying the movement, behavior, and environmental context of group-living animals using drones and computer vision

B. Koger, A. Deshpande, J. T. Kerby, J. M. Graving, B. R. Costelloe, I. D. Couzin

This paper introduces a system using drones and computer vision to track animal movement, posture, and environmental context in natural settings with high spatiotemporal resolution.

bioRxiv · Jun 30, 2022 · PreprintAnimal Behavior & Cognition

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

J. M. Graving, D. Chae, H. Naik, L. Li, B. Koger, B. R. Costelloe, I. D. Couzin

DeepPoseKit provides a fast and robust software toolkit for animal pose estimation using deep learning, improving speed without sacrificing accuracy.

bioRxiv · Sep 4, 2019Animal Behavior & Cognition