Author

P. Nuehrenberg

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· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Assay:behavioral assay· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:chicken / avian· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. L. Jordan· 2 shared F. Francisco· 2 shared A. Jordan· 1 shared F. A. Francisco· 1 shared H. Hofmann· 1 shared J. Derry· 1 shared L. K. Garrison· 1 shared M. Rodriguez-Santiago· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersEcology

A. L. Jordan

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

High-resolution animal tracking with integration of environmental information in aquatic systems

F. Francisco, P. Nuehrenberg, A. L. Jordan

This paper introduces a deep-learning method for high-resolution animal tracking in aquatic environments using low-cost cameras and environmental data integration.

bioRxiv · Feb 25, 2020 · PreprintEcology

Behavioral traits that define social dominance are the same that reduce social influence in a consensus task

M. Rodriguez-Santiago, P. Nuehrenberg, J. Derry, O. Deussen, F. Francisco, L. K. Garrison, S. F. Garza, H. Hofmann, A. L. Jordan

The paper shows that behavioral traits associated with social dominance in cichlid fish reduce their social influence in complex consensus tasks, while subordinate males are more effective in driving social change.

bioRxiv · Jan 5, 2020Animal Behavior & Cognition

A low-cost, open-source framework for tracking and behavioural analysis of animals in aquatic ecosystems

F. A. Francisco, P. Nuehrenberg, A. Jordan

This paper introduces a low-cost, open-source framework using deep learning and structure-from-motion to track and analyze animal behavior in aquatic environments with high accuracy and minimal infrastructure.

bioRxiv · Mar 9, 2019 · PreprintAnimal Behavior & Cognition