Publications of Iain D. Couzin

Gorbonos, D.; Oberhauser, F. B.; Costello, L. L.; Günzel, Y.; Couzin-Fuchs, E.; Koger, B.; Couzin, I. D.: An effective hydrodynamic description of marching locusts. Physical Biology 21 (2), 026004 (2024)

Heins, R. C.; Millidge, B.; Da Costa, L.; Mann, R. P.; Friston, K. J.; Couzin, I. D.: Collective behavior from surprise minimization. PNAS 121 (17), e2320239121 (2024)

Li, L.; Chao, L.-M.; Wang, S.; Deussen, O.; Couzin, I. D.: RoboTwin: A platform to study hydrodynamic interactions in schooling fish. IEEE Robotics & Automation Magazine 31 (1), pp. 10 - 17 (2024)

Couzin, I. D.; Couzin-Fuchs, E.: The chemical ecology of locust cannibalism. Science 380 (6644), pp. 454 - 455 (2023)

Couzin, I. D.; Heins, R. C.: Emerging technologies for behavioral research in changing environments. Trends in Ecology and Evolution 38 (4), pp. 346 - 354 (2023)

Couzin, I. D.; Li, L.: The benefits of swimming together. eLife 12, e86807 (2023)

Davidescu, M. R.; Romanczuk, P.; Gregor, T.; Couzin, I. D.: Growth produces coordination trade-offs in Trichoplax adhaerens, an animal lacking a central nervous system. Proceedings of the National Academy of Sciences of the United States of America 120 (11), e2206163120 (2023)

Jhawar, J.; Davidson, J. D.; Weidenmüller, A.; Wild, B.; Dormagen, D. M.; Landgraf, T.; Couzin, I. D.; Smith, M. L.: How honeybees respond to heat stress from the individual to colony level. Journal of the Royal Society Interface 20 (207), 20230290 (2023)

Koger, B.; Deshpande, A.; Kerby, J. T.; Graving, J. M.; Costelloe, B. R.; Couzin, I. D.: Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision. Journal of Animal Ecology 92 (7), pp. 1357 - 1371 (2023)

Nagy, M.; Naik, H.; Kano, F.; Carlson, N. V.; Koblitz, J. C.; Wikelski, M.; Couzin, I. D.: SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers. Science Advances 9 (35), eadf8068 (2023)

Naik, H.; Chan, A. H. H.; Yang, J.; Delacoux, M.; Couzin, I. D.; Kano, F.; Nagy, M.: 3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 21274 - 21284 (2023)

Neubauer, L. C.; Davidson, J. D.; Wild, B.; Dormagen, D. M.; Landgraf, T.; Couzin, I. D.; Smith, M. L.: Honey bee drones are synchronously hyperactive inside the nest. Animal Behaviour 203, pp. 207 - 223 (2023)

Oscar, L.; Li, L.; Gorbonos, D.; Couzin, I. D.; Gov, N. S.: A simple cognitive model explains movement decisions in zebrafish while following leaders. Physical Biology 20 (4), 045002 (2023)

Sridhar, V. H.; Davidson, J. D.; Twomey, C. R.; Sosna, M. M. G.; Nagy, M.; Couzin, I. D.: Inferring social influence in animal groups across multiple timescales. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 378 (1874), 20220062 (2023)

Williams, H. J.; Sridhar, V. H.; Hurme, E.; Gall, G. E. C.; Borrego, N.; Finerty, G. E.; Couzin, I. D.; Galizia, C. G.; Dominy, N. J.; Rowland, H. M. et al.; Hauber, M. E.; Higham, J. P.; Strandburg-Peshkin, A.; Melin, A. D.: Sensory collectives in natural systems. eLife 12, e88028 (2023)

Jolles, J. W.; Sosna, M. M. G.; Mazue, G. P. F.; Twomey, C. R.; Bak-Coleman, J.; Rubenstein, D. I.; Couzin, I. D.: Both prey and predator features predict the individual predation risk and survival of schooling prey. eLife 11, e76344 (2022)

Kano, F.; Naik, H.; Keskin, G.; Couzin, I. D.; Nagy, M.: Head-tracking of freely-behaving pigeons in a motion-capture system reveals the selective use of visual field regions. Scientific Reports 12 (1), 19113 (2022)

Poel, W.; Daniels, B. C.; Sosna, M. M. G.; Twomey, C. R.; Leblanc, S. P.; Couzin, I. D.; Romanczuk, P.: Subcritical escape waves in schooling fish. Science Advances 8 (25), eabm6385 (2022)

Smith, M. L.; Davidson, J. D.; Wild, B.; Dormagen, D. M.; Landgraf, T.; Couzin, I. D.: Behavioral variation across the days and lives of honey bees. iScience 25 (9), 104842 (2022)

Tuia, D.; Kellenberger, B.; Beery, S.; Costelloe, B. R.; Zuffi, S.; Risse, B.; Mathis, A.; Mathis, M. W.; van Langevelde, F.; Burghardt, T. et al.; Kays, R.; Klinck, H.; Wikelski, M.; Couzin, I. D.; van Horn, G.; Crofoot, M. C.; Stewart, C. V.; Berger-Wolf, T.: Perspectives in machine learning for wildlife conservation. Nature Communications 13 (1), 792 (2022)