Spatio-temporal correlations in models of collective motion ruled by different dynamical laws

Autores
Cavagna, Andrea; Conti, Daniele; Giardina, Irene; Grigera, Tomás Sebastián; Melillo, Stefania; Viale, Massimiliano
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Information transfer is an essential factor in determining the robustness of collective behaviour in biological systems with distributed control. The most direct way to study the information transfer mechanisms is to experimentally detect the propagation across the system of a signal triggered by some perturbation. However, for field experiments this method is inefficient, as the possibilities of the observer to perturb the group are limited and empirical observations must rely on rare natural perturbations. An alternative way is to use spatio-temporal correlations to assess the information transfer mechanism directly from the spontaneous fluctuations of the system, without the need to have an actual propagating signal on record. We test the approach on ground truth data provided by numerical simulations in three dimensions of two models of collective behaviour characterized by very different dynamical equations and information transfer mechanisms: the classic Vicsek model, describing an overdamped noninertial dynamics and the inertial spin model, characterized by an un- derdamped inertial dynamics. By using dynamical finite size scaling, we show that spatio-temporal correlations are able to distinguish unambiguously the diffusive information transfer mechanism of the Vicsek model from the linear mechanism of the inertial spin model.
Instituto de Física de Líquidos y Sistemas Biológicos
Materia
Física
Biología
Biological physics
Information transfer
Statistical mechanics
Collective behavior
Spatio-temporal correlations
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/129616

id SEDICI_1a3a5dec93fb36c0b6a179228db44237
oai_identifier_str oai:sedici.unlp.edu.ar:10915/129616
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Spatio-temporal correlations in models of collective motion ruled by different dynamical lawsCavagna, AndreaConti, DanieleGiardina, IreneGrigera, Tomás SebastiánMelillo, StefaniaViale, MassimilianoFísicaBiologíaBiological physicsInformation transferStatistical mechanicsCollective behaviorSpatio-temporal correlationsInformation transfer is an essential factor in determining the robustness of collective behaviour in biological systems with distributed control. The most direct way to study the information transfer mechanisms is to experimentally detect the propagation across the system of a signal triggered by some perturbation. However, for field experiments this method is inefficient, as the possibilities of the observer to perturb the group are limited and empirical observations must rely on rare natural perturbations. An alternative way is to use spatio-temporal correlations to assess the information transfer mechanism directly from the spontaneous fluctuations of the system, without the need to have an actual propagating signal on record. We test the approach on ground truth data provided by numerical simulations in three dimensions of two models of collective behaviour characterized by very different dynamical equations and information transfer mechanisms: the classic Vicsek model, describing an overdamped noninertial dynamics and the inertial spin model, characterized by an un- derdamped inertial dynamics. By using dynamical finite size scaling, we show that spatio-temporal correlations are able to distinguish unambiguously the diffusive information transfer mechanism of the Vicsek model from the linear mechanism of the inertial spin model.Instituto de Física de Líquidos y Sistemas Biológicos2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/129616enginfo:eu-repo/semantics/altIdentifier/issn/1478-3975info:eu-repo/semantics/altIdentifier/issn/1478-3967info:eu-repo/semantics/altIdentifier/arxiv/1605.09628info:eu-repo/semantics/altIdentifier/pmid/27845926info:eu-repo/semantics/altIdentifier/doi/10.1088/1478-3975/13/6/065001info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:31:17Zoai:sedici.unlp.edu.ar:10915/129616Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:31:17.667SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
title Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
spellingShingle Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
Cavagna, Andrea
Física
Biología
Biological physics
Information transfer
Statistical mechanics
Collective behavior
Spatio-temporal correlations
title_short Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
title_full Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
title_fullStr Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
title_full_unstemmed Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
title_sort Spatio-temporal correlations in models of collective motion ruled by different dynamical laws
dc.creator.none.fl_str_mv Cavagna, Andrea
Conti, Daniele
Giardina, Irene
Grigera, Tomás Sebastián
Melillo, Stefania
Viale, Massimiliano
author Cavagna, Andrea
author_facet Cavagna, Andrea
Conti, Daniele
Giardina, Irene
Grigera, Tomás Sebastián
Melillo, Stefania
Viale, Massimiliano
author_role author
author2 Conti, Daniele
Giardina, Irene
Grigera, Tomás Sebastián
Melillo, Stefania
Viale, Massimiliano
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Física
Biología
Biological physics
Information transfer
Statistical mechanics
Collective behavior
Spatio-temporal correlations
topic Física
Biología
Biological physics
Information transfer
Statistical mechanics
Collective behavior
Spatio-temporal correlations
dc.description.none.fl_txt_mv Information transfer is an essential factor in determining the robustness of collective behaviour in biological systems with distributed control. The most direct way to study the information transfer mechanisms is to experimentally detect the propagation across the system of a signal triggered by some perturbation. However, for field experiments this method is inefficient, as the possibilities of the observer to perturb the group are limited and empirical observations must rely on rare natural perturbations. An alternative way is to use spatio-temporal correlations to assess the information transfer mechanism directly from the spontaneous fluctuations of the system, without the need to have an actual propagating signal on record. We test the approach on ground truth data provided by numerical simulations in three dimensions of two models of collective behaviour characterized by very different dynamical equations and information transfer mechanisms: the classic Vicsek model, describing an overdamped noninertial dynamics and the inertial spin model, characterized by an un- derdamped inertial dynamics. By using dynamical finite size scaling, we show that spatio-temporal correlations are able to distinguish unambiguously the diffusive information transfer mechanism of the Vicsek model from the linear mechanism of the inertial spin model.
Instituto de Física de Líquidos y Sistemas Biológicos
description Information transfer is an essential factor in determining the robustness of collective behaviour in biological systems with distributed control. The most direct way to study the information transfer mechanisms is to experimentally detect the propagation across the system of a signal triggered by some perturbation. However, for field experiments this method is inefficient, as the possibilities of the observer to perturb the group are limited and empirical observations must rely on rare natural perturbations. An alternative way is to use spatio-temporal correlations to assess the information transfer mechanism directly from the spontaneous fluctuations of the system, without the need to have an actual propagating signal on record. We test the approach on ground truth data provided by numerical simulations in three dimensions of two models of collective behaviour characterized by very different dynamical equations and information transfer mechanisms: the classic Vicsek model, describing an overdamped noninertial dynamics and the inertial spin model, characterized by an un- derdamped inertial dynamics. By using dynamical finite size scaling, we show that spatio-temporal correlations are able to distinguish unambiguously the diffusive information transfer mechanism of the Vicsek model from the linear mechanism of the inertial spin model.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/129616
url http://sedici.unlp.edu.ar/handle/10915/129616
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1478-3975
info:eu-repo/semantics/altIdentifier/issn/1478-3967
info:eu-repo/semantics/altIdentifier/arxiv/1605.09628
info:eu-repo/semantics/altIdentifier/pmid/27845926
info:eu-repo/semantics/altIdentifier/doi/10.1088/1478-3975/13/6/065001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616192447217664
score 13.070432