Fractal fluctuations in quiet standing predict the use of mechanical information for haptic perception.
Identifieur interne : 001B69 ( Main/Exploration ); précédent : 001B68; suivant : 001B70Fractal fluctuations in quiet standing predict the use of mechanical information for haptic perception.
Auteurs : Zsolt Palatinus [États-Unis] ; James A. Dixon ; Damian G. Kelty-StephenSource :
- Annals of biomedical engineering [ 1573-9686 ] ; 2013.
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Abstract
Movement science has traditionally understood high-dimensional fluctuations as either antithetical or irrelevant to low-dimensional control. However, fluctuations incident to changeful, sometimes unpredictable stimulation must somehow reshape low-dimensional aspects of control through perception. The movement system's fluctuations may reflect cascade dynamics in which many-sized events interact nonlinearly across many scales. Cascades yield fractal fluctuations, and fractality of fluctuations may provide a window on the interactions across scale supporting perceptual processes. To test these ideas, we asked adult human participants to judge whole or partial length for unseen rods (with and without added masses). The participants' only experience with the objects came from supporting them across their shoulders during quiet standing. First, the degree of fractal temporal correlations in trial-by-trial series of planar Euclidean displacements in center of pressure (COP) significantly improved prediction of subsequent trial-by-trial judgments, above and beyond prediction by traditional predictors of haptic perception and conventional measures of COP variability. Second, comparison with linear surrogate data indicated the presence of nonlinear interactions across scale in these time series. These results demonstrate that high-dimensional fluctuations may serve a crucial role in the cascade dynamics supporting apparently low-dimensional control strategies.
DOI: 10.1007/s10439-012-0706-1
PubMed: 23188561
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However, fluctuations incident to changeful, sometimes unpredictable stimulation must somehow reshape low-dimensional aspects of control through perception. The movement system's fluctuations may reflect cascade dynamics in which many-sized events interact nonlinearly across many scales. Cascades yield fractal fluctuations, and fractality of fluctuations may provide a window on the interactions across scale supporting perceptual processes. To test these ideas, we asked adult human participants to judge whole or partial length for unseen rods (with and without added masses). The participants' only experience with the objects came from supporting them across their shoulders during quiet standing. First, the degree of fractal temporal correlations in trial-by-trial series of planar Euclidean displacements in center of pressure (COP) significantly improved prediction of subsequent trial-by-trial judgments, above and beyond prediction by traditional predictors of haptic perception and conventional measures of COP variability. Second, comparison with linear surrogate data indicated the presence of nonlinear interactions across scale in these time series. These results demonstrate that high-dimensional fluctuations may serve a crucial role in the cascade dynamics supporting apparently low-dimensional control strategies.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Connecticut</li></region></list><tree><noCountry><name sortKey="Dixon, James A" sort="Dixon, James A" uniqKey="Dixon J" first="James A" last="Dixon">James A. Dixon</name><name sortKey="Kelty Stephen, Damian G" sort="Kelty Stephen, Damian G" uniqKey="Kelty Stephen D" first="Damian G" last="Kelty-Stephen">Damian G. Kelty-Stephen</name></noCountry><country name="États-Unis"><region name="Connecticut"><name sortKey="Palatinus, Zsolt" sort="Palatinus, Zsolt" uniqKey="Palatinus Z" first="Zsolt" last="Palatinus">Zsolt Palatinus</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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