Journal
FRONTIERS IN PHYSIOLOGY
Volume 4, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fphys.2013.00001
Keywords
scaling relations; distribution analysis; dynamic systems; cognitive performance; response time distributions; fractal analysis
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Funding
- National Science Foundation [BCS-0446813, BCS-0843133, BCS-0642718]
- Division Of Behavioral and Cognitive Sci [0843133] Funding Source: National Science Foundation
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Event distributions inform scientists about the variability and dispersion of repeated measurements. This dispersion can be understood from a complex systems perspective, and quantified in terms of fractal geometry. The key premise is that a distribution's shape reveals information about the governing dynamics of the system that gave rise to the distribution. Two categories of characteristic dynamics are distinguished: additive systems governed by component dominant dynamics and multiplicative or interdependent systems governed by interaction-dominant dynamics. A logic by which systems governed by interaction-dominant dynamics are expected to yield mixtures of lognormal and inverse power-law samples is discussed. These mixtures are described by a so-called cocktail model of response times derived from human cognitive performances. The overarching goals of this article are twofold: First, to offer readers an introduction to this theoretical perspective and second, to offer an overview of the related statistical methods.
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