Literature DB >> 26406859

Intrinsic fluctuations and driven response of insect swarms.

Rui Ni1, James G Puckett2, Eric R Dufresne1,3, Nicholas T Ouellette1.   

Abstract

Animals of all sizes form groups, as acting together can convey advantages over acting alone; thus, collective animal behavior has been identified as a promising template for designing engineered systems. However, models and observations have focused predominantly on characterizing the overall group morphology, and often focus on highly ordered groups such as bird flocks. We instead study a disorganized aggregation (an insect mating swarm), and compare its natural fluctuations with the group-level response to an external stimulus. We quantify the swarm's frequency-dependent linear response and its spectrum of intrinsic fluctuations, and show that the ratio of these two quantities has a simple scaling with frequency. Our results provide a new way of comparing models of collective behavior with experimental data.

Mesh:

Year:  2015        PMID: 26406859     DOI: 10.1103/PhysRevLett.115.118104

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  11 in total

1.  Response of insect swarms to dynamic illumination perturbations.

Authors:  Michael Sinhuber; Kasper van der Vaart; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2019-01-31       Impact factor: 4.118

2.  Data-driven quantitative modeling of bacterial active nematics.

Authors:  He Li; Xia-Qing Shi; Mingji Huang; Xiao Chen; Minfeng Xiao; Chenli Liu; Hugues Chaté; H P Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-28       Impact factor: 11.205

3.  Environmental perturbations induce correlations in midge swarms.

Authors:  Kasper van der Vaart; Michael Sinhuber; Andrew M Reynolds; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2020-03-25       Impact factor: 4.118

4.  Stochastic modelling of bird flocks: accounting for the cohesiveness of collective motion.

Authors:  Andy M Reynolds; Guillam E McIvor; Alex Thornton; Patricia Yang; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2022-04-20       Impact factor: 4.293

5.  Activity waves and freestanding vortices in populations of subcritical Quincke rollers.

Authors:  Zeng Tao Liu; Yan Shi; Yongfeng Zhao; Hugues Chaté; Xia-Qing Shi; Tian Hui Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-05       Impact factor: 11.205

6.  Effect of Correlations in Swarms on Collective Response.

Authors:  David Mateo; Yoke Kong Kuan; Roland Bouffanais
Journal:  Sci Rep       Date:  2017-09-04       Impact factor: 4.379

7.  Langevin dynamics encapsulate the microscopic and emergent macroscopic properties of midge swarms.

Authors:  A M Reynolds
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

8.  Timing Information Propagation in Interactive Networks.

Authors:  Imane Hafnaoui; Gabriela Nicolescu; Giovanni Beltrame
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

9.  Understanding the thermodynamic properties of insect swarms.

Authors:  Andy M Reynolds
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

10.  Mechanical spectroscopy of insect swarms.

Authors:  Kasper van der Vaart; Michael Sinhuber; Andrew M Reynolds; Nicholas T Ouellette
Journal:  Sci Adv       Date:  2019-07-10       Impact factor: 14.136

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