Jolyon Troscianko

University of Exeter — United Kingdom

Agricultural and Biological Sciences · Life Sciences

32h-index3.5kcitations140works0.92yr avg
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Research Topics

Animal Behavior and Reproduction(62), Plant and animal studies(31), Avian ecology and behavior(24), Primate Behavior and Ecology(19), Visual perception and processing mechanisms(16)

Publications140 total

BehaveAI enables rapid detection and classification of objects and behavior from motion
PLoS Biology·2026Open Access
troscianko/BehaveAI: v1.3.0
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
troscianko/BehaveAI: v1.3.0
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Severe and widespread reductions in night-time activity of nocturnal moths under modern artificial lighting spectra
Proceedings of the Royal Society B Biological Sciences·2026Open Access
troscianko/BehaveAI: v1.2.1
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Recent breeding experience improves egg ejection behaviour
Biology Letters·2026Open Access
troscianko/BehaveAI: v1.2.0
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
troscianko/BehaveAI: v1.1.0
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Supplementary material from Severe and widespread reductions in nighttime activity of nocturnal moths under modern artificial lighting spectra
Figshare·2026Open Access
Supplementary material from "Severe and widespread reductions in nighttime activity of nocturnal moths under modern artificial lighting spectra"
Figshare·2026Open Access
Supplementary material from "Severe and widespread reductions in nighttime activity of nocturnal moths under modern artificial lighting spectra"
Figshare·2026Open Access
Supplementary material from Severe and widespread reductions in nighttime activity of nocturnal moths under modern artificial lighting spectra
Figshare·2026Open Access
BehaveAI case study datasets
Figshare·2026Open Access
Author response for "Severe and widespread reductions in nighttime activity of nocturnal moths under modern artificial lighting spectra"
2025
Author response for "Recent breeding experience improves egg ejection behaviour"
2025
BehaveAI: a framework for rapidly detecting and classifying objects and behaviour from motion
2025Open Access
A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite
Proceedings of the Royal Society B Biological Sciences·2025Open Access
Author response for "Severe and widespread reductions in nighttime activity of nocturnal moths under modern artificial lighting spectra"
2025
Author response for "A machine learning approach to facilitate parasitic egg identification in a conspecific brood parasite"
2025
Butterfly wing patterns create powerful illusory motion cues
2025Open Access
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Frequent Co-authors

Martin Stevens(24), Claire N. Spottiswoode(8), Christian Rutz(6), Jared K. Wilson‐Aggarwal(5), John Skelhorn(4), Anna E. Hughes(4), Lucas A. Bluff(3), Indar W. Ramnarine(3), Darren P. Croft(3), Cedric P. van den Berg(2), John A. Endler(2), N. Justin Marshall(2), Karen L. Cheney(2), Alex Kacelnik(2), Alice E. Lown(2), P. George Lovell(2), Jesús Gómez(2), Cristina Ramo(2), G. Liñán(2), Juan A. Amat(2)