Author

M. Murthy

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· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:Drosophila· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:imaging· 2 Organism:mouse· 2 Research Focus:trajectory inference· 2 Assay:behavioral assay· 1

Frequent Co-Authors

J. W. Shaevitz· 2 shared T. D. Pereira· 2 shared A. Calhoun· 1 shared A. L. Falkner· 1 shared B. Arthur· 1 shared D. E. Aldarondo· 1 shared D. M. Turner· 1 shared D. Stern· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 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

J. W. Shaevitz

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

SLEAP: Multi-animal pose tracking

T. D. Pereira, N. Tabris, J. Li, S. Ravindranath, E. S. Papadoyannis, Z. Y. Wang, D. M. Turner, G. McKenzie-Smith, S. D. Kocher, A. L. Falkner, J. W. Shaevitz, M. Murthy

SLEAP is a deep learning framework for multi-animal pose tracking that enables accurate and efficient tracking of social interactions across various species and experimental conditions.

bioRxiv · Aug 31, 2020 · PreprintAnimal Behavior & Cognition

Fast animal pose estimation using deep neural networks

T. D. Pereira, D. E. Aldarondo, L. Willmore, M. Kislin, S. S.- H. Wang, M. Murthy, J. W. Shaevitz

The paper introduces LEAP, a deep learning method for fast animal pose estimation, validated on fruit flies and mice with high accuracy and speed.

bioRxiv · May 30, 2018Animal Behavior & Cognition

Experimental and statistical re-evaluation provides no evidence for Drosophila courtship song rhythms

D. Stern, J. Clemens, P. Coen, A. Calhoun, J. Hogenesch, B. Arthur, M. Murthy

The paper re-evaluates claims of periodic Drosophila courtship song rhythms and finds no evidence for their existence in multiple datasets and analyses.

bioRxiv · Aug 9, 2017Animal Behavior & Cognition