Literature DB >> 17855611

Motor force field learning influences visual processing of target motion.

Liana E Brown1, Elizabeth T Wilson, Melvyn A Goodale, Paul L Gribble.   

Abstract

There are reciprocal connections between visual and motor areas of the cerebral cortex. Although recent studies have provided intriguing new insights, in comparison with volume of research on the visual control of movement, relatively little is known about how movement influences vision. The motor system is perfectly suited to learn about environmental forces. Does environmental force information, learned by the motor system, influence visual processing? Here, we show that learning to compensate for a force applied to the hand influenced how participants predicted target motion for interception. Ss trained in one of three constant force fields by making reaching movements while holding a robotic manipulandum. The robot applied forces in a null [null force field (NFF)], leftward [leftward force field (LFF)], or [rightward force field (RFF)] direction. Training was followed immediately with an interception task. The target accelerated from left to right and Ss's task was to stab it. When viewing time was optimal for prediction, the RFF group initiated their responses earlier and hit more targets, and the LFF group initiated their responses later and hit fewer targets, than the NFF group. In follow-up experiments, we show that motor learning is necessary, and we rule out the possibility that explicit force direction information drives how Ss altered their predictions of visual motion. Environmental force information, acquired by motor learning, influenced how the motion of nearby visual targets was predicted.

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Year:  2007        PMID: 17855611      PMCID: PMC6672632          DOI: 10.1523/JNEUROSCI.1245-07.2007

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  13 in total

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Authors:  Myrka Zago; Joseph McIntyre; Patrice Senot; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2009-01-13       Impact factor: 1.972

2.  Extrapolation of vertical target motion through a brief visual occlusion.

Authors:  Myrka Zago; Marco Iosa; Vincenzo Maffei; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2009-10-31       Impact factor: 1.972

3.  Can proprioceptive training improve motor learning?

Authors:  Jeremy D Wong; Dinant A Kistemaker; Alvin Chin; Paul L Gribble
Journal:  J Neurophysiol       Date:  2012-09-12       Impact factor: 2.714

4.  Motor learning and its sensory effects: time course of perceptual change and its presence with gradual introduction of load.

Authors:  Andrew A G Mattar; Mohammad Darainy; David J Ostry
Journal:  J Neurophysiol       Date:  2012-11-07       Impact factor: 2.714

5.  Seeing motion of controlled object improves grip timing in adults with autism spectrum condition: evidence for use of inverse dynamics in motor control.

Authors:  Shinya Takamuku; Haruhisa Ohta; Chieko Kanai; Antonia F de C Hamilton; Hiroaki Gomi
Journal:  Exp Brain Res       Date:  2021-02-02       Impact factor: 1.972

6.  Somatosensory plasticity and motor learning.

Authors:  David J Ostry; Mohammad Darainy; Andrew A G Mattar; Jeremy Wong; Paul L Gribble
Journal:  J Neurosci       Date:  2010-04-14       Impact factor: 6.167

7.  Movements following force-field adaptation are aligned with altered sense of limb position.

Authors:  Hiroki Ohashi; Ruy Valle-Mena; Paul L Gribble; David J Ostry
Journal:  Exp Brain Res       Date:  2019-03-12       Impact factor: 1.972

Review 8.  Sensory Plasticity in Human Motor Learning.

Authors:  David J Ostry; Paul L Gribble
Journal:  Trends Neurosci       Date:  2016-01-13       Impact factor: 13.837

9.  Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task.

Authors:  A Aldo Faisal; Daniel M Wolpert
Journal:  J Neurophysiol       Date:  2008-12-24       Impact factor: 2.714

10.  Motor cortex guides selection of predictable movement targets.

Authors:  Philip J W Woodgate; Soeren Strauss; Saber A Sami; Dietmar Heinke
Journal:  Behav Brain Res       Date:  2015-03-30       Impact factor: 3.332

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