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Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics

Self-organized criticality purports to build multi-scaled structures out of local interactions. Evidence of scaling in various domains of biology may be more generally understood to reflect multiplicative interactions weaving together many disparate scales. The self-similarity of power-law scaling e...

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Detalles Bibliográficos
Autores principales: Stephen, Damian G., Anastas, Jason R., Dixon, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329630/
https://www.ncbi.nlm.nih.gov/pubmed/22529819
http://dx.doi.org/10.3389/fphys.2012.00102
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author Stephen, Damian G.
Anastas, Jason R.
Dixon, James A.
author_facet Stephen, Damian G.
Anastas, Jason R.
Dixon, James A.
author_sort Stephen, Damian G.
collection PubMed
description Self-organized criticality purports to build multi-scaled structures out of local interactions. Evidence of scaling in various domains of biology may be more generally understood to reflect multiplicative interactions weaving together many disparate scales. The self-similarity of power-law scaling entails homogeneity: fluctuations distribute themselves similarly across many spatial and temporal scales. However, this apparent homogeneity can be misleading, especially as it spans more scales. Reducing biological processes to one power-law relationship neglects rich cascade dynamics. We review recent research into multifractality in executive-function cognitive tasks and propose that scaling reflects not criticality but instead interactions across multiple scales and among fluctuations of multiple sizes.
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spelling pubmed-33296302012-04-23 Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics Stephen, Damian G. Anastas, Jason R. Dixon, James A. Front Physiol Physiology Self-organized criticality purports to build multi-scaled structures out of local interactions. Evidence of scaling in various domains of biology may be more generally understood to reflect multiplicative interactions weaving together many disparate scales. The self-similarity of power-law scaling entails homogeneity: fluctuations distribute themselves similarly across many spatial and temporal scales. However, this apparent homogeneity can be misleading, especially as it spans more scales. Reducing biological processes to one power-law relationship neglects rich cascade dynamics. We review recent research into multifractality in executive-function cognitive tasks and propose that scaling reflects not criticality but instead interactions across multiple scales and among fluctuations of multiple sizes. Frontiers Research Foundation 2012-04-19 /pmc/articles/PMC3329630/ /pubmed/22529819 http://dx.doi.org/10.3389/fphys.2012.00102 Text en Copyright © Stephen, Anastas and Dixon. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) , which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Physiology
Stephen, Damian G.
Anastas, Jason R.
Dixon, James A.
Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
title Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
title_full Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
title_fullStr Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
title_full_unstemmed Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
title_short Scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
title_sort scaling in cognitive performance reflects multiplicative multifractal cascade dynamics
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3329630/
https://www.ncbi.nlm.nih.gov/pubmed/22529819
http://dx.doi.org/10.3389/fphys.2012.00102
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