Literature DB >> 28424295

The sensorimotor system minimizes prediction error for object lifting when the object's weight is uncertain.

Jack Brooks1, Anne Thaler2.   

Abstract

A reliable mechanism to predict the heaviness of an object is important for manipulating an object under environmental uncertainty. Recently, Cashaback et al. (Cashaback JGA, McGregor HR, Pun HCH, Buckingham G, Gribble PL. J Neurophysiol 117: 260-274, 2017) showed that for object lifting the sensorimotor system uses a strategy that minimizes prediction error when the object's weight is uncertain. Previous research demonstrates that visually guided reaching is similarly optimized. Although this suggests a unified strategy of the sensorimotor system for object manipulation, the selected strategy appears to be task dependent and subject to change in response to the degree of environmental uncertainty.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  Bayesian inference; motor control; object lifting; predictive control; uncertainty

Mesh:

Year:  2017        PMID: 28424295      PMCID: PMC5539453          DOI: 10.1152/jn.00232.2017

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  12 in total

1.  Independence of perceptual and sensorimotor predictions in the size-weight illusion.

Authors:  J R Flanagan; M A Beltzner
Journal:  Nat Neurosci       Date:  2000-07       Impact factor: 24.884

2.  Statistical decision theory and the selection of rapid, goal-directed movements.

Authors:  Julia Trommershäuser; Laurence T Maloney; Michael S Landy
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2003-07       Impact factor: 2.129

3.  Evidence for predictive control in lifting series of virtual objects.

Authors:  Firas Mawase; Amir Karniel
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4.  Sensory prediction errors drive cerebellum-dependent adaptation of reaching.

Authors:  Ya-Weng Tseng; Jörn Diedrichsen; John W Krakauer; Reza Shadmehr; Amy J Bastian
Journal:  J Neurophysiol       Date:  2007-05-16       Impact factor: 2.714

5.  Flexible Control of Safety Margins for Action Based on Environmental Variability.

Authors:  Alkis M Hadjiosif; Maurice A Smith
Journal:  J Neurosci       Date:  2015-06-17       Impact factor: 6.167

6.  Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects.

Authors:  R S Johansson; G Westling
Journal:  Exp Brain Res       Date:  1984       Impact factor: 1.972

7.  Does the sensorimotor system minimize prediction error or select the most likely prediction during object lifting?

Authors:  Joshua G A Cashaback; Heather R McGregor; Henry C H Pun; Gavin Buckingham; Paul L Gribble
Journal:  J Neurophysiol       Date:  2016-10-19       Impact factor: 2.714

8.  Human representation of visuo-motor uncertainty as mixtures of orthogonal basis distributions.

Authors:  Hang Zhang; Nathaniel D Daw; Laurence T Maloney
Journal:  Nat Neurosci       Date:  2015-06-29       Impact factor: 24.884

9.  Perceptual decisions are biased by the cost to act.

Authors:  Nobuhiro Hagura; Patrick Haggard; Jörn Diedrichsen
Journal:  Elife       Date:  2017-02-21       Impact factor: 8.140

10.  Motor planning flexibly optimizes performance under uncertainty about task goals.

Authors:  Aaron L Wong; Adrian M Haith
Journal:  Nat Commun       Date:  2017-03-03       Impact factor: 14.919

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  1 in total

1.  Anticipatory action planning for stepping onto competing potential targets.

Authors:  Ryo Watanabe; Takahiro Higuchi
Journal:  Front Hum Neurosci       Date:  2022-08-22       Impact factor: 3.473

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