Long-range temporal correlations in resting-state α oscillations predict human timing-error dynamics

D.J.A. Smit; K. Linkenkaer-Hansen; E.J.C. de Geus

doi:10.1523/JNEUROSCI.2816-12.2013

Long-range temporal correlations in resting-state α oscillations predict human timing-error dynamics

D.J.A. Smit, K. Linkenkaer-Hansen, E.J.C. de Geus

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

Human behavior is imperfect. This is notably clear during repetitive tasks in which sequences of errors or deviations from perfect performance result. These errors are not random, but show patterned fluctuations with long-range temporal correlations that are well described using power-law spectra P(f)∝1/f

Original language	English
Pages (from-to)	11212-11220
Journal	The Journal of Neuroscience
Volume	33
Issue number	27
DOIs	https://doi.org/10.1523/JNEUROSCI.2816-12.2013
Publication status	Published - 2013

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title = "Long-range temporal correlations in resting-state α oscillations predict human timing-error dynamics",

abstract = "Human behavior is imperfect. This is notably clear during repetitive tasks in which sequences of errors or deviations from perfect performance result. These errors are not random, but show patterned fluctuations with long-range temporal correlations that are well described using power-law spectra P(f)∝1/f",

author = "D.J.A. Smit and K. Linkenkaer-Hansen and {de Geus}, E.J.C.",

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AB - Human behavior is imperfect. This is notably clear during repetitive tasks in which sequences of errors or deviations from perfect performance result. These errors are not random, but show patterned fluctuations with long-range temporal correlations that are well described using power-law spectra P(f)∝1/f

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DO - 10.1523/JNEUROSCI.2816-12.2013

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JO - The Journal of Neuroscience

JF - The Journal of Neuroscience

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