Box scaling as a proxy of finite size correlations
- Autores
- Martin, Daniel Alejandro; Ribeiro, Tiago L.; Cannas, Sergio A.; Grigera, Tomás Sebastián; Plenz, Dietmar; Chialvo, Dante R.
- Año de publicación
- 2021
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The scaling of correlations as a function of size provides important hints to understand critical phenomena on a variety of systems. Its study in biological structures offers two challenges: usually they are not of infinite size, and, in the majority of cases, dimensions can not be varied at will. Here we discuss how finite-size scaling can be approximated in an experimental system of fixed and relatively small extent, by computing correlations inside of a reduced field of view of various widths (we will refer to this procedure as "box-scaling"). A relation among the size of the field of view, and measured correlation length, is derived at, and away from, the critical regime. Numerical simulations of a neuronal network, as well as the ferromagnetic 2D Ising model, are used to verify such approximations. Numerical results support the validity of the heuristic approach, which should be useful to characterize relevant aspects of critical phenomena in biological systems.
Facultad de Ciencias Exactas
Instituto de Física de Líquidos y Sistemas Biológicos - Materia
-
Física
Computational biology and bioinformatics
Mathematics and computing
Neuroscience
Physics
Statistical physics, thermodynamics and nonlinear dynamics - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/135393
Ver los metadatos del registro completo
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Box scaling as a proxy of finite size correlationsMartin, Daniel AlejandroRibeiro, Tiago L.Cannas, Sergio A.Grigera, Tomás SebastiánPlenz, DietmarChialvo, Dante R.FísicaComputational biology and bioinformaticsMathematics and computingNeurosciencePhysicsStatistical physics, thermodynamics and nonlinear dynamicsThe scaling of correlations as a function of size provides important hints to understand critical phenomena on a variety of systems. Its study in biological structures offers two challenges: usually they are not of infinite size, and, in the majority of cases, dimensions can not be varied at will. Here we discuss how finite-size scaling can be approximated in an experimental system of fixed and relatively small extent, by computing correlations inside of a reduced field of view of various widths (we will refer to this procedure as "box-scaling"). A relation among the size of the field of view, and measured correlation length, is derived at, and away from, the critical regime. Numerical simulations of a neuronal network, as well as the ferromagnetic 2D Ising model, are used to verify such approximations. Numerical results support the validity of the heuristic approach, which should be useful to characterize relevant aspects of critical phenomena in biological systems.Facultad de Ciencias ExactasInstituto de Física de Líquidos y Sistemas Biológicos2021-08info: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/10915/135393enginfo:eu-repo/semantics/altIdentifier/issn/2045-2322info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-95595-2info:eu-repo/semantics/altIdentifier/pmid/34354220info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:31:57Zoai:sedici.unlp.edu.ar:10915/135393Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:31:57.466SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Box scaling as a proxy of finite size correlations |
title |
Box scaling as a proxy of finite size correlations |
spellingShingle |
Box scaling as a proxy of finite size correlations Martin, Daniel Alejandro Física Computational biology and bioinformatics Mathematics and computing Neuroscience Physics Statistical physics, thermodynamics and nonlinear dynamics |
title_short |
Box scaling as a proxy of finite size correlations |
title_full |
Box scaling as a proxy of finite size correlations |
title_fullStr |
Box scaling as a proxy of finite size correlations |
title_full_unstemmed |
Box scaling as a proxy of finite size correlations |
title_sort |
Box scaling as a proxy of finite size correlations |
dc.creator.none.fl_str_mv |
Martin, Daniel Alejandro Ribeiro, Tiago L. Cannas, Sergio A. Grigera, Tomás Sebastián Plenz, Dietmar Chialvo, Dante R. |
author |
Martin, Daniel Alejandro |
author_facet |
Martin, Daniel Alejandro Ribeiro, Tiago L. Cannas, Sergio A. Grigera, Tomás Sebastián Plenz, Dietmar Chialvo, Dante R. |
author_role |
author |
author2 |
Ribeiro, Tiago L. Cannas, Sergio A. Grigera, Tomás Sebastián Plenz, Dietmar Chialvo, Dante R. |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Física Computational biology and bioinformatics Mathematics and computing Neuroscience Physics Statistical physics, thermodynamics and nonlinear dynamics |
topic |
Física Computational biology and bioinformatics Mathematics and computing Neuroscience Physics Statistical physics, thermodynamics and nonlinear dynamics |
dc.description.none.fl_txt_mv |
The scaling of correlations as a function of size provides important hints to understand critical phenomena on a variety of systems. Its study in biological structures offers two challenges: usually they are not of infinite size, and, in the majority of cases, dimensions can not be varied at will. Here we discuss how finite-size scaling can be approximated in an experimental system of fixed and relatively small extent, by computing correlations inside of a reduced field of view of various widths (we will refer to this procedure as "box-scaling"). A relation among the size of the field of view, and measured correlation length, is derived at, and away from, the critical regime. Numerical simulations of a neuronal network, as well as the ferromagnetic 2D Ising model, are used to verify such approximations. Numerical results support the validity of the heuristic approach, which should be useful to characterize relevant aspects of critical phenomena in biological systems. Facultad de Ciencias Exactas Instituto de Física de Líquidos y Sistemas Biológicos |
description |
The scaling of correlations as a function of size provides important hints to understand critical phenomena on a variety of systems. Its study in biological structures offers two challenges: usually they are not of infinite size, and, in the majority of cases, dimensions can not be varied at will. Here we discuss how finite-size scaling can be approximated in an experimental system of fixed and relatively small extent, by computing correlations inside of a reduced field of view of various widths (we will refer to this procedure as "box-scaling"). A relation among the size of the field of view, and measured correlation length, is derived at, and away from, the critical regime. Numerical simulations of a neuronal network, as well as the ferromagnetic 2D Ising model, are used to verify such approximations. Numerical results support the validity of the heuristic approach, which should be useful to characterize relevant aspects of critical phenomena in biological systems. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08 |
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/10915/135393 |
url |
http://sedici.unlp.edu.ar/handle/10915/135393 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/altIdentifier/issn/2045-2322 info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-95595-2 info:eu-repo/semantics/altIdentifier/pmid/34354220 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International (CC BY 4.0) |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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