Literature DB >> 22718148

Amplitude requirements, visual information, and the spatial structure of movement.

Andrew B Slifkin1, Jeffrey R Eder.   

Abstract

Studies using a variety of experimental tasks have established that when humans repeatedly produce an action, the amount of variability in system output is distributed across a range of time scales or frequencies. A finding of particular interest is that fluctuations in the output of cognitive systems are the highest at the lowest frequencies with fluctuation magnitude (power) systematically declining as frequency increases. Such time-series structure--captured by spectral analysis--is termed pink noise. However, the appearance of pink noise seems to be limited to tasks where action is executed in the absence of external, task-related feedback. In contrast, a few studies have demonstrated that when action was executed in the presence of external, task-related feedback, power was evenly distributed across all spectral frequencies--that is, a white-noise time-series structure was revealed. Here, we sought to determine if the time-series structure of movement amplitude values would change when movement amplitude requirements increased (6.35, 12.70, 25.40, 50.80, and 101.60 mm) under conditions of full visual feedback. Given that increases in movement amplitude requirements are known to induce increased reliance on the available visual feedback, we predicted an amplitude-requirement-induced shift in time-series structure from pink to white noise. Indeed, those results were revealed. Last, the main findings were captured by a computer simulation that was based on established principles of motor control.

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Year:  2012        PMID: 22718148     DOI: 10.1007/s00221-012-3138-0

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  30 in total

1.  Noise, information transmission, and force variability.

Authors:  A B Slifkin; K M Newell
Journal:  J Exp Psychol Hum Percept Perform       Date:  1999-06       Impact factor: 3.332

2.  Asymmetries in the regulation of visually guided aiming.

Authors:  R G Carson; D Goodman; R Chua; D Elliott
Journal:  J Mot Behav       Date:  1993-03       Impact factor: 1.328

3.  Oscillating in synchrony with a metronome: serial dependence, limit cycle dynamics, and modeling.

Authors:  Kjerstin Torre; Ramesh Balasubramaniam; Didier Delignières
Journal:  Motor Control       Date:  2010-07       Impact factor: 1.422

4.  Inferring online and offline processing of visual feedback in target-directed movements from kinematic data.

Authors:  Michael A Khan; Ian M Franks; Digby Elliott; Gavin P Lawrence; Romeo Chua; Pierre-Michel Bernier; Steve Hansen; Daniel J Weeks
Journal:  Neurosci Biobehav Rev       Date:  2006-07-12       Impact factor: 8.989

5.  The emergent coordination of cognitive function.

Authors:  Christopher T Kello; Brandon C Beltz; John G Holden; Guy C Van Orden
Journal:  J Exp Psychol Gen       Date:  2007-11

6.  1/f noise and effort on implicit measures of bias.

Authors:  Joshua Correll
Journal:  J Pers Soc Psychol       Date:  2008-01

7.  Manual asymmetries in visually directed aiming.

Authors:  E A Roy; D Elliott
Journal:  Can J Psychol       Date:  1986-06

8.  Optimality in human motor performance: ideal control of rapid aimed movements.

Authors:  D E Meyer; R A Abrams; S Kornblum; C E Wright; J E Smith
Journal:  Psychol Rev       Date:  1988-07       Impact factor: 8.934

9.  1/f noise in human cognition.

Authors:  D L Gilden; T Thornton; M W Mallon
Journal:  Science       Date:  1995-03-24       Impact factor: 47.728

10.  Theories and models for 1/f(beta) noise in human movement science.

Authors:  Kjerstin Torre; Eric-Jan Wagenmakers
Journal:  Hum Mov Sci       Date:  2009-04-28       Impact factor: 2.161

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  3 in total

1.  Fitts' index of difficulty predicts the 1/f structure of movement amplitude time series.

Authors:  Andrew B Slifkin; Jeffrey R Eder
Journal:  Exp Brain Res       Date:  2014-02-15       Impact factor: 1.972

2.  Non-linear Amplification of Variability Through Interaction Across Scales Supports Greater Accuracy in Manual Aiming: Evidence From a Multifractal Analysis With Comparisons to Linear Surrogates in the Fitts Task.

Authors:  Christopher A Bell; Nicole S Carver; John A Zbaracki; Damian G Kelty-Stephen
Journal:  Front Physiol       Date:  2019-08-07       Impact factor: 4.566

3.  Concurrent Changes of Brain Functional Connectivity and Motor Variability When Adapting to Task Constraints.

Authors:  Grégoire Vergotte; Stéphane Perrey; Muthuraman Muthuraman; Stefan Janaqi; Kjerstin Torre
Journal:  Front Physiol       Date:  2018-07-10       Impact factor: 4.566

  3 in total

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