Author

Nathaniel J. Hall

Texas Tech UniversityORCID 0000-0001-7465-5470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

Edgar O. Aviles‐RosaiD· 1 shared Iwan DownieiD· 1 shared Jörg SchultziD· 1 shared Liza RothkoffiD· 1 shared Michele N. MaughaniD· 1 shared Paul SzyszkaiD· 1 shared Timothy L. EdwardsiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 9 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

Edgar O. Aviles‐RosaORCID

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2 papers

Recent·Most cited

Animal Behavior & CognitionbioRxivPreprintJul 1, 2026

Evidence that Dogs Can Use Temporal Difference in Odorant Arrival to Discriminate Odorant Mixtures

Iwan Downie, Paul Szyszka, Nathaniel J. Hall, Timothy L. Edwards

This study shows dogs can detect very short differences in odorant arrival times, distinguishing between synchronous and asynchronous odorant mixtures under natural sampling conditions.

DOI 10.64898/2026.06.26.734637

experimental assay

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Animal Behavior & CognitionbioRxivPreprintOct 31, 2025

Detection dog performance state estimation from pre-stimulus video and physiological signals using deep learning and Bayesian inference

Jörg Schultz, Liza Rothkoff, Edgar O. Aviles‐Rosa…·Michele N. Maughan

This paper develops a deep learning and Bayesian framework to estimate detection dog performance states from pre-stimulus video and physiological signals, identifying missed alerts with 85% detection and 81% precision.

DOI 10.1101/2025.10.31.685787

imagingproteomics

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