Literature DB >> 11433790

Sensorimotor prediction and memory in object manipulation.

J R Flanagan1, S King, D M Wolpert, R S Johansson.   

Abstract

When people lift objects of different size but equal weight, they initially employ too much force for the large object and too little force for the small object. However, over repeated lifts of the two objects, they learn to suppress the size-weight association used to estimate force requirements and appropriately scale their lifting forces to the true and equal weights of the objects. Thus, sensorimotor memory from previous lifts comes to dominate visual size information in terms of force prediction. Here we ask whether this sensorimotor memory is transient, preserved only long enough to perform the task, or more stable. After completing an initial lift series in which they lifted equally weighted large and small objects in alternation, participants then repeated the lift series after delays of 15 minutes or 24 hours. In both cases, participants retained information about the weights of the objects and used this information to predict the appropriate fingertip forces. This preserved sensorimotor memory suggests that participants acquired internal models of the size-weight stimuli that could be used for later prediction.

Entities:  

Mesh:

Year:  2001        PMID: 11433790     DOI: 10.1037/h0087355

Source DB:  PubMed          Journal:  Can J Exp Psychol        ISSN: 1196-1961


  31 in total

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Authors:  David W Franklin; Etienne Burdet; Rieko Osu; Mitsuo Kawato; Theodore E Milner
Journal:  Exp Brain Res       Date:  2003-05-29       Impact factor: 1.972

2.  Maintaining rotational equilibrium during object manipulation: linear behavior of a highly non-linear system.

Authors:  Fan Gao; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2005-11-17       Impact factor: 1.972

3.  Sensorimotor memory of weight asymmetry in object manipulation.

Authors:  Lulu L C D Bursztyn; J Randall Flanagan
Journal:  Exp Brain Res       Date:  2007-10-24       Impact factor: 1.972

4.  Bayesian and "anti-Bayesian" biases in sensory integration for action and perception in the size-weight illusion.

Authors:  Jordan B Brayanov; Maurice A Smith
Journal:  J Neurophysiol       Date:  2010-01-20       Impact factor: 2.714

5.  Collision error avoidance: influence of proportion congruency and sensorimotor memory on open-loop grasp control.

Authors:  Ryan Brydges; Adam Dubrowski
Journal:  Exp Brain Res       Date:  2009-08-01       Impact factor: 1.972

6.  Lifting a familiar object: visual size analysis, not memory for object weight, scales lift force.

Authors:  Kelly J Cole
Journal:  Exp Brain Res       Date:  2008-04-29       Impact factor: 1.972

7.  Anticipatory scaling of grip forces when lifting objects of everyday life.

Authors:  Joachim Hermsdörfer; Yong Li; Jennifer Randerath; Georg Goldenberg; Sandra Eidenmüller
Journal:  Exp Brain Res       Date:  2011-05-04       Impact factor: 1.972

8.  Quantifying feedforward control: a linear scaling model for fingertip forces and object weight.

Authors:  Ying Lu; Seda Bilaloglu; Viswanath Aluru; Preeti Raghavan
Journal:  J Neurophysiol       Date:  2015-04-15       Impact factor: 2.714

9.  Internal models direct dragonfly interception steering.

Authors:  Matteo Mischiati; Huai-Ti Lin; Paul Herold; Elliot Imler; Robert Olberg; Anthony Leonardo
Journal:  Nature       Date:  2014-12-10       Impact factor: 49.962

10.  Predicting grip force amplitude involves circuits in the anterior basal ganglia.

Authors:  Pooja Wasson; Janey Prodoehl; Stephen A Coombes; Daniel M Corcos; David E Vaillancourt
Journal:  Neuroimage       Date:  2009-11-26       Impact factor: 6.556

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