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Statistical Analysis of Timing Errors

Authors
Journal
Brain and Cognition
0278-2626
Publisher
Elsevier
Publication Date
Volume
48
Issue
1
Identifiers
DOI: 10.1006/brcg.2001.1306

Abstract

Abstract Human rhythmic activities are variable. Cycle-to-cycle fluctuations form the behavioral observable. Traditional analysis focuses on statistical measures such as mean and variance. In this article we show that, by treating the fluctuations as a time series, one can apply techniques such as power spectra and rescaled range analysis to gain insight into the mechanisms underlying the remarkable abilities of humans to perform a variety of rhythmic movements, from maintaining memorized temporal patterns to anticipating and timing their movements to predictable sensory stimuli.

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