When members of a group differ in locomotor capacity, coordinating collective movement poses a challenge: some individuals may have to move faster (or slower) than their preferred speed to remain together. Such compromises have energetic repercussions yet research in collective behavior has largely neglected locomotor consensus costs. Here we integrate high-resolution tracking of wild baboon locomotion and movement with simulations to demonstrate that size-based variation in locomotor capacity poses an obstacle to collective movement. While all baboons modulate their gait and move-pause dynamics during collective movement, the costs of maintaining cohesion are disproportionately borne by smaller group members. Although consensus costs are not distributed equally, all group-mates do make locomotor compromises, suggesting a shared decision-making process drives the pace of collective movement in this highly despotic species. These results highlight the importance of considering how social dynamics and locomotor capacity interact to shape the movement ecology of group-living species.
Tuesday, June 15 at 02:15am (PDT)Tuesday, June 15 at 10:15am (BST)Tuesday, June 15 06:15pm (KST)
MS05-CBBS: Data-driven approaches to understanding collective behavior
Organized by: Maria Bruna (University of Cambridge, United Kingdom), Ulrich Dobramysl (University of Cambridge, United Kingdom), Simon Garnier (New Jersey Institute of Technology, USA)
- Meg Crofoot (Max Planck Institute of Animal Behavior & University of Konstanz, Germany) "Locomotor compromise underlies coordination in heterogeneous groups on the move"
- Colin Torney (School of Mathematics & Statistics, University of Glasgow, United Kingdom) "Inferring microscale properties of interacting systems from macroscale observations"
- Yuko Ulrich (Institute of Integrative Biology, ETH Zurich, Switzerland) "Behavioral organization in heterogeneous groups of a social insect"
- Adrien Blanchet (Toulouse School of Economics, France) "Mathematical model of disinformation"
MS05-EVOP: Evolutionary Game Theory under Uncertainty
Organized by: Hong Duong (University of Birmingham, UK), The Anh Han (Teesside University, UK)
- Hye Jin Park (Asia Pacific Center for Theoretical Physics, Korea) "Extinction dynamics from meta-stable coexistences in an evolutionary game"
- Jorge Peña (Institute for Advanced Study in Toulouse, University of Toulouse 1 Capitole, France) "Evolutionary dynamics of discrete public goods under threshold uncertainty"
- Isamu Okada (Soka University, Japan) "Social dilemma, scoring dilemma, and punishment dilemma in indirect reciprocity"
- Marco A. Javarone (University College London, UK) "Cooperative behaviours and sources of noise"
MS05-MEPI: Integrative Within-Host and Between-Hosts Modeling for Preparedness Against Infectious Diseases
Organized by: Esteban Hernandez-Vargas (Instituto de Matematicas, UNAM, Unidad Juriquilla, Queretaro, Mexico., Mexico), Jorge X. Velasco-Hernandez (Instituto de Matematicas, UNAM, Unidad Juriquilla, Queretaro, Mexico., Mexico)
- Jan Fuhrmann (Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany, Germany) "Modeling the COVID-19 epidemic in Germany"
- Lubna Pinky (University of Tennessee Health Science Center, Memphis, TN 38163, USA, USA) "Quantifying Dose-, Strain-, and Tissue-Specific Kinetics of Parainfluenza Virus Infection"
- Fernando Saldaña (Instituto de Matematicas UNAM at Juriquilla, Mexico, Mexico) "A model for vaccine escape under unequal vaccine access"
- Suneet Singh Jhutty (Frankfurt Institute for Advanced Studies, Frankfurt am Main, Germany., Germany) "Mapping of Influenza Infection from Blood Data with Machine Learning Methods"
MS05-NEUR: Recent advances in mathematical neuroscience: cortically inspired models for vision and synaptic plasticity
Organized by: Luca Calatroni (Laboratoire I3S, CNRS, UCA & Inria Sophia Antipolis Méditerranée, France), Mathieu Desroches (MathNeuro Project-Team, Inria Sophia Antipolis Méditerranée & Université Côté d’Azur, France), Valentina Franceschi (Dipartimento di Matematica, Università degli Studidi Padova, Italy), Dario Prandi (Université Paris-Saclay, CNRS, CentraleSupélec, L2S, France) Note: this minisymposia has multiple sessions. The second session is MS17-NEUR.
- Laurent Perrinet (INT, CNRS - Aix-Marseille Université, France) "Pooling in a predictive model of V1 explains functional and structural diversity across species"
- Rufin VanRullen (CerCo, CNRS and ANITI, Universite de Toulouse, France) "Deep predictive coding for more robust and human-like vision"
- Yuri Elias Rodrigues (INRIA/IPMC/Université Côte d'Azur, France) "Modelling the experimental heterogeneity of synaptic plasticity"
- Halgurd Taher (Inria Sophia Antipolis-Méditerranée Research Centre, France) "Bursting in a next generation neural mass model with synaptic dynamics: a slow-fast approach"