Bath, D.E., Graving, J.M., Walter, T., Vizcaíno, J.P. & Couzin, I.D. (2021) Collective sensing in mobile animal groups, in revision.
Sridhar, V.H., Li, L., Gorbonos, D., Nagy, M., Schell, B.R., Sorochkin, T., Gov, N.S. & Couzin, I.D. (2021) The geometry of decision-making, submitted.
Robots help to answer age-old question of why fish school
by Carla Avolio
Study using biomimetic fish-like robots shows that swimming closely together offers fish hydrodynamic benefits – research project with participation from University of Konstanz researchers provides first experimental validation of an answer to an old question.
A fish school is a striking demonstration of synchronicity. Yet centuries of study have left a basic question unanswered: do fish save energy by swimming in schools?
Conor is a PhD student interested in the basic principles underlying the dynamics and organization of complex systems. In particular, he investigates the notion that such systems, from single cells to economies, look as if they implicitly ‘model’ their surroundings. In pursuing this idea, he relies heavily on a theoretical framework called the Free Energy Principle. He completed a BA in Neuroscience at Swarthmore College and a MSc. in Neuroscience at the University of Göttingen, with a focus on computational neuroscience and active inference. Currently, Conor borrows methods from non-equilibrium thermodynamics,
Walter, T. & Couzin, I.D. (2021) TRex, a fast multi-animal tracking system with markerless identification, 2D posture estimation and visual field reconstruction, in revision.
Li, L., Ravi, S., Xie, G. & Couzin, I.D. (2021) Using a robotic platform to study the influence of relative tailbeat phase on the energetic costs of side-by-side swimming in fish, in review.
Nagy, M., Horicsányi, A., Kubinyi, E., Couzin, I.D. Vásárhelyi, G., Flack, A., & Vicsek, T. (2020) Synergistic benefits of group search in rats, Current Biology 30, 1-6.
My research aims at understanding the evolution of family living, as well cooperation among unrelated individuals. I rely on my long-term study system, the Siberian jay, which we study in Swedish Lapland, 80km south of Arctic Circle. In addition, I am interested in questions relating to language like adaptations (call meaning, syntax).
Li, L., Nagy, M., Graving, J.M., Bak-Coleman, J., Xie, G. & Couzin, I.D. (2020) Vortex phase matching as a strategy for schooling in robots and in fish, Nature Communications 11, 5408.
Graving, J.M. & Couzin, I.D. (2021) VAE-SNE: a deep generative model for simultaneous dimensionality reduction and clustering, in review.