Citation

Ding M, Chen Y, Kelso JA. Brain Cogn. 2002; 48(1): 98-106.

Affiliation

Center for Complex Systems and Brain Sciences, Florida Atlantic University, Baton Raton, FL 33431, USA. ding@walt.ccs.fau.edu

Copyright

(Copyright © 2002, Elsevier Publishing)

DOI

10.1006/brcg.2001.1306

PMID

11812035

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.

Language: en