Noise, information transmission, and force variability.
Abstract
This study was designed to test the hypothesis derived from information theory that increases in the variability of motor responses result from increases in perceptual-motor noise. Young adults maintained isometric force for extended periods at different levels of their maximum voluntary contraction. Force variability (SD) increased exponentially as a function of force level. However, the signal-to-noise ratio (M/SD), an index of information transmission, as well as measures of noise in both the time (approximate entropy) and frequency (power spectrum) domains, changed according to an inverted U-shaped function over the range of force levels. These findings indicate that force variability is not directly related to noise but that force output noisiness is positively correlated with the amount of information transmitted.
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Cited by (8)
- The central nervous system stabilizes unstable dynamics by learning optimal impedanceBurdet, Etienne, Osu, Rieko, Franklin, David W., Milner, Theodore E., Kawato, Mitsuo · 2001 · Nature
- The Role of Execution Noise in Movement Variabilityvan Beers, Robert J., Haggard, Patrick, Wolpert, Daniel M. · 2004 · Journal of Neurophysiology
- Variability and Determinism in Motor BehaviorRiley, Michael A., Turvey, M. T. · 2002 · Journal of Motor Behavior
- Training adaptations in the behavior of human motor unitsDuchateau, Jacques, Semmler, John G., Enoka, Roger M. · 2006 · Journal of Applied Physiology
- Structure of motor variability in marginally redundant multifinger force production tasksLatash, Mark, Scholz, John, Danion, Frederic, Schöner, Gregor · 2001 · Experimental Brain Research
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Noise, information transmission, and force variability. https://app.cochat.ai/papers/10.1037//0096-1523.25.3.837
- The paper
- Slifkin, A. B., & Newell, K. M. (1999). Noise, information transmission, and force variability. Journal of Experimental Psychology Human Perception & Performance. https://doi.org/10.1037//0096-1523.25.3.837
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.