Correlation functions as a tool to study collective behaviour phenomena in biological systems
- Autores
- Grigera, Tomas Sebastian
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Much of interesting complex biological behaviour arises from collective properties. Importantinformation about collective behaviour lies in the time and space structure of fluctuations aroundaverage properties, and two-point correlation functions are a fundamental tool to study thesefluctuations. We give a self-contained presentation of definitions and techniques for computationof correlation functions aimed at providing students and researchers outside the field of statisticalphysics a practical guide to calculating correlation functions from experimental and simulationdata. We discuss some properties of correlations in critical systems, and the effect of finite systemsize, which is particularly relevant for most biological experimental systems. Finally we apply theseto the case of the dynamical transition in a simple neuronal model.
Fil: Grigera, Tomas Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; Argentina - Materia
-
CORRELATIONS
CRITICALITY
FINITE-SIZE SCALING - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/173800
Ver los metadatos del registro completo
id |
CONICETDig_34af23bad2398c702c2b7462d05aa3c6 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/173800 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Correlation functions as a tool to study collective behaviour phenomena in biological systemsGrigera, Tomas SebastianCORRELATIONSCRITICALITYFINITE-SIZE SCALINGhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Much of interesting complex biological behaviour arises from collective properties. Importantinformation about collective behaviour lies in the time and space structure of fluctuations aroundaverage properties, and two-point correlation functions are a fundamental tool to study thesefluctuations. We give a self-contained presentation of definitions and techniques for computationof correlation functions aimed at providing students and researchers outside the field of statisticalphysics a practical guide to calculating correlation functions from experimental and simulationdata. We discuss some properties of correlations in critical systems, and the effect of finite systemsize, which is particularly relevant for most biological experimental systems. Finally we apply theseto the case of the dynamical transition in a simple neuronal model.Fil: Grigera, Tomas Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; ArgentinaIOP Publishing2021-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/173800Grigera, Tomas Sebastian; Correlation functions as a tool to study collective behaviour phenomena in biological systems; IOP Publishing; Journal of Physics: Complexity; 2; 45016; 9-2021; 1-302632-072XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1088/2632-072X/ac2b06info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2632-072X/ac2b06info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:35:32Zoai:ri.conicet.gov.ar:11336/173800instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:35:32.996CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
title |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
spellingShingle |
Correlation functions as a tool to study collective behaviour phenomena in biological systems Grigera, Tomas Sebastian CORRELATIONS CRITICALITY FINITE-SIZE SCALING |
title_short |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
title_full |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
title_fullStr |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
title_full_unstemmed |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
title_sort |
Correlation functions as a tool to study collective behaviour phenomena in biological systems |
dc.creator.none.fl_str_mv |
Grigera, Tomas Sebastian |
author |
Grigera, Tomas Sebastian |
author_facet |
Grigera, Tomas Sebastian |
author_role |
author |
dc.subject.none.fl_str_mv |
CORRELATIONS CRITICALITY FINITE-SIZE SCALING |
topic |
CORRELATIONS CRITICALITY FINITE-SIZE SCALING |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Much of interesting complex biological behaviour arises from collective properties. Importantinformation about collective behaviour lies in the time and space structure of fluctuations aroundaverage properties, and two-point correlation functions are a fundamental tool to study thesefluctuations. We give a self-contained presentation of definitions and techniques for computationof correlation functions aimed at providing students and researchers outside the field of statisticalphysics a practical guide to calculating correlation functions from experimental and simulationdata. We discuss some properties of correlations in critical systems, and the effect of finite systemsize, which is particularly relevant for most biological experimental systems. Finally we apply theseto the case of the dynamical transition in a simple neuronal model. Fil: Grigera, Tomas Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Departamento de Física; Argentina |
description |
Much of interesting complex biological behaviour arises from collective properties. Importantinformation about collective behaviour lies in the time and space structure of fluctuations aroundaverage properties, and two-point correlation functions are a fundamental tool to study thesefluctuations. We give a self-contained presentation of definitions and techniques for computationof correlation functions aimed at providing students and researchers outside the field of statisticalphysics a practical guide to calculating correlation functions from experimental and simulationdata. We discuss some properties of correlations in critical systems, and the effect of finite systemsize, which is particularly relevant for most biological experimental systems. Finally we apply theseto the case of the dynamical transition in a simple neuronal model. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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://hdl.handle.net/11336/173800 Grigera, Tomas Sebastian; Correlation functions as a tool to study collective behaviour phenomena in biological systems; IOP Publishing; Journal of Physics: Complexity; 2; 45016; 9-2021; 1-30 2632-072X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/173800 |
identifier_str_mv |
Grigera, Tomas Sebastian; Correlation functions as a tool to study collective behaviour phenomena in biological systems; IOP Publishing; Journal of Physics: Complexity; 2; 45016; 9-2021; 1-30 2632-072X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1088/2632-072X/ac2b06 info:eu-repo/semantics/altIdentifier/url/https://iopscience.iop.org/article/10.1088/2632-072X/ac2b06 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
IOP Publishing |
publisher.none.fl_str_mv |
IOP Publishing |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1846082815693684736 |
score |
13.22299 |