Regensburg 2019 – wissenschaftliches Programm
SOE 6.6: Vortrag
Montag, 1. April 2019, 16:30–16:45, H20
Topology vs. Node Dynamics in Collective Adaptation to Risk — Matthew Grobis1, Colin Twomey2, Joseph Bak-Coleman1, •Winnie Poel3,4, Bryan Daniels5, Pawel Romanczuk3,4, and Iain Couzin6,7 — 1Princeton University, USA — 2University of Pennsylvania, USA — 3Humboldt Universität zu Berlin — 4Bernstein Center for Computational Neuroscience Berlin, Germany — 5Arizona State University, USA — 6Max Planck Institute for Ornithology, Germany — 7University of Konstanz, Germany
Our research focuses on the mechanism used by large animal groups to reliably collectively process information on external threats like predation. Specifically, we are interested in the role of an individual's internal state vs. the structure of the group in collective reaction to perceived risk. Using a generic contagion model , we study behavioral response cascades in fish schools based on empirically inferred visual interaction networks . We aim to uncover if and how the spatial configuration of the group (i.e. structure of its visual interaction network) and the individual response parameters affect the collective responsiveness.
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