title: Spectral convergence in tapping and physiological fluctuations: coupling and independence of 1/f noise in the central and autonomic nervous systems.
abstract: When humans perform a response task or timing task repeatedly, fluctuations in measures of timing from one action to the next exhibit long-range correlations known as 1/f noise. The origins of 1/f noise in timing have been debated for over 20 years, with one common explanation serving as a default: humans are composed of physiological processes throughout the brain and body that operate over a wide range of timescales, and these processes combine to be expressed as a general source of 1/f noise. To test this explanation, the present study investigated the coupling vs. independence of 1/f noise in timing deviations, key-press durations, pupil dilations, and heartbeat intervals while tapping to an audiovisual metronome. All four dependent measures exhibited clear 1/f noise, regardless of whether tapping was synchronized or syncopated. 1/f spectra for timing deviations were found to match those for key-press durations on an individual basis, and 1/f spectra for pupil dilations matched those in heartbeat intervals. Results indicate a complex, multiscale relationship among 1/f noises arising from common sources, such as those arising from timing functions vs. those arising from autonomic nervous system (ANS) functions. Results also provide further evidence against the default hypothesis that 1/f noise in human timing is just the additive combination of processes throughout the brain and body. Our findings are better accommodated by theories of complexity matching that begin to formalize multiscale coordination as a foundation of human behavior.
authors.affiliation: Cognitive and Information Sciences, University of California Merced, CA, USA.
authors.forename: Lillian M
authors.initials: LM
authors.lastname: Rigoli
authors.affiliation: Cognitive and Information Sciences, University of California Merced, CA, USA.
authors.forename: Daniel
authors.initials: D
authors.lastname: Holman
authors.affiliation: Cognitive and Information Sciences, University of California Merced, CA, USA.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Spivey
authors.affiliation: Cognitive and Information Sciences, University of California Merced, CA, USA.
authors.forename: Christopher T
authors.initials: CT
authors.lastname: Kello
keywords: complexity matching; interdependent coordination; long-range correlations; spectral analysis; tapping