Scale laws Lois d'échelle En Fr

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13 février 2018

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HAL-SHS : économie et finance

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Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.5281/zenodo.3827519

Ce document est lié à :
info:eu-repo/grantAgreement//640626/EU/Brain-behavior forecasting: The causal determinants of spontaneous self-initiated action in the study of volition and the development of asynchronous brain-computer interfaces./ACTINIT

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Archives ouvertes

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Centre pour la communication scientifique directe

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http://hal.archives-ouvertes.fr/licences/copyright/ , info:eu-repo/semantics/OpenAccess

Mots-clés En

Power law Power law decay Power law dependence Scale free distributions 1/f noise 1/f noise characteristics 1/f noise measurement 1/f noise spectrum 1/f processes Complexity Brain oscillations Time series characterization Metastability Hurst exponent Detrended fluctuation analysis Coarse-graining spectral analysis Autocorrelation function Spectral density function EEG Signal Analysis Intracranial electroencephalography Long term memory Fractal Processes Self-organised criticality Temporal organization Variability analysis Motor Performance Resting state

Sujets proches En

Cerebrum Mind

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Bianca Trovó, « Lois d'échelle », HAL-SHS : économie et finance, ID : 10.5281/zenodo.3827519

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Résumé En

Scale free dynamics and scale invariance are universal characteristics of complex systems in nature. 1/f or long-range temporal correlations or pink noise is also a self-generated/correlated brain noise that coexists with periodic brain oscillations in a non predominant temporal fashion.For a long time this kind of noise has been ignored in experimental manipulations or analyses because thought to be the expression of instrumental noise. Nowadays, instead, recent evidence speaks in favour of the functional significance of the 1/f and its spatiotemporal organisation at different levels. However, further investigation is needed in order to unveil the relationship between each specific 1/f noise (across individuals, behavioural tasks, across different natural phenomena…).Outline of the lecture:1. Power-law distributions in nature2. Types of noise3. 1/f as a signature of complexity4. Debate between brain oscillations and noise5. New perspectives on 1/f: functional significance and temporal organisation

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