Scale laws

Lois d'échelle

Bianca Trovó ()
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Bianca Trovó: UNICOG-U992 - Neuroimagerie cognitive - Psychologie cognitive expérimentale - NEUROSPIN - Service NEUROSPIN - Université Paris-Saclay - JOLIOT - Institut des Sciences du Vivant Frédéric JOLIOT - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - INSERM - Institut National de la Santé et de la Recherche Médicale - Université Paris-Saclay, UFR 927 - Sorbonne Université - UFR Sciences de la vie - SU - Sorbonne Université

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Abstract: 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 nature 2. Types of noise 3. 1/f as a signature of complexity 4. Debate between brain oscillations and noise 5. New perspectives on 1/f: functional significance and temporal organisation

Keywords: 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 (search for similar items in EconPapers)
Date: 2018-02-13
New Economics Papers: this item is included in nep-hme
Note: View the original document on HAL open archive server: https://cea.hal.science/cea-02300814
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Published in Doctoral. CEA, Institut des sciences du vivant Frédéric Joliot, Neurospin, UNICOG (Cognitive Neuroimaging Unit), Saclay, France. 2018

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:cea-02300814

DOI: 10.5281/zenodo.3827519

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