Literature DB >> 26245313

Learning feedback and feedforward control in a mirror-reversed visual environment.

Shoko Kasuga1, Sebastian Telgen2, Junichi Ushiba3, Daichi Nozaki4, Jörn Diedrichsen5.   

Abstract

When we learn a novel task, the motor system needs to acquire both feedforward and feedback control. Currently, little is known about how the learning of these two mechanisms relate to each other. In the present study, we tested whether feedforward and feedback control need to be learned separately, or whether they are learned as common mechanism when a new control policy is acquired. Participants were trained to reach to two lateral and one central target in an environment with mirror (left-right)-reversed visual feedback. One group was allowed to make online movement corrections, whereas the other group only received visual information after the end of the movement. Learning of feedforward control was assessed by measuring the accuracy of the initial movement direction to lateral targets. Feedback control was measured in the responses to sudden visual perturbations of the cursor when reaching to the central target. Although feedforward control improved in both groups, it was significantly better when online corrections were not allowed. In contrast, feedback control only adaptively changed in participants who received online feedback and remained unchanged in the group without online corrections. Our findings suggest that when a new control policy is acquired, feedforward and feedback control are learned separately, and that there may be a trade-off in learning between feedback and feedforward controllers.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  arm-reaching; feedback control; feedforward control; online correction; visuomotor transformation

Mesh:

Year:  2015        PMID: 26245313      PMCID: PMC4600966          DOI: 10.1152/jn.00096.2015

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


  34 in total

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Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

2.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

3.  Sensory prediction errors drive cerebellum-dependent adaptation of reaching.

Authors:  Ya-Weng Tseng; Jörn Diedrichsen; John W Krakauer; Reza Shadmehr; Amy J Bastian
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4.  Rapid feedback responses correlate with reach adaptation and properties of novel upper limb loads.

Authors:  Tyler Cluff; Stephen H Scott
Journal:  J Neurosci       Date:  2013-10-02       Impact factor: 6.167

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Authors:  D M Wolpert; Z Ghahramani; M I Jordan
Journal:  Science       Date:  1995-09-29       Impact factor: 47.728

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Authors:  D M Wolpert; Z Ghahramani; M I Jordan
Journal:  Exp Brain Res       Date:  1995       Impact factor: 1.972

7.  Electromyographic correlates of learning an internal model of reaching movements.

Authors:  K A Thoroughman; R Shadmehr
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

8.  Structural learning in feedforward and feedback control.

Authors:  Nada Yousif; Jörn Diedrichsen
Journal:  J Neurophysiol       Date:  2012-08-15       Impact factor: 2.714

9.  Motor task variation induces structural learning.

Authors:  Daniel A Braun; Ad Aertsen; Daniel M Wolpert; Carsten Mehring
Journal:  Curr Biol       Date:  2009-02-12       Impact factor: 10.834

Review 10.  Structure learning in action.

Authors:  Daniel A Braun; Carsten Mehring; Daniel M Wolpert
Journal:  Behav Brain Res       Date:  2009-08-29       Impact factor: 3.332

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  11 in total

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Authors:  Xiao Zhou; Rex N Tien; Sadhana Ravikumar; Steven M Chase
Journal:  J Neurophysiol       Date:  2019-02-06       Impact factor: 2.714

2.  Implicit adaptation to mirror reversal is in the correct coordinate system but the wrong direction.

Authors:  Tianhe Wang; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2021-10-06       Impact factor: 2.714

3.  Delayed feedback during sensorimotor learning selectively disrupts adaptation but not strategy use.

Authors:  Samuel N Brudner; Nikhit Kethidi; Damaris Graeupner; Richard B Ivry; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2016-01-20       Impact factor: 2.714

4.  Robotic exoskeleton assessment of transient ischemic attack.

Authors:  Leif Simmatis; Jonathan Krett; Stephen H Scott; Albert Y Jin
Journal:  PLoS One       Date:  2017-12-22       Impact factor: 3.240

5.  Multiple Coordinate Systems and Motor Strategies for Reaching Movements When Eye and Hand Are Dissociated in Depth and Direction.

Authors:  Annalisa Bosco; Valentina Piserchia; Patrizia Fattori
Journal:  Front Hum Neurosci       Date:  2017-06-23       Impact factor: 3.169

6.  Kinect V2 Performance Assessment in Daily-Life Gestures: Cohort Study on Healthy Subjects for a Reference Database for Automated Instrumental Evaluations on Neurological Patients.

Authors:  Alessandro Scano; Andrea Chiavenna; Matteo Malosio; Lorenzo Molinari Tosatti
Journal:  Appl Bionics Biomech       Date:  2017-11-22       Impact factor: 1.781

7.  Visually-updated hand state estimates modulate the proprioceptive reflex independently of motor task requirements.

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Journal:  Elife       Date:  2020-03-31       Impact factor: 8.140

8.  Feedback Adaptation to Unpredictable Force Fields in 250 ms.

Authors:  Frédéric Crevecoeur; James Mathew; Marie Bastin; Philippe Lefèvre
Journal:  eNeuro       Date:  2020-04-29

9.  Rapid Changes in Movement Representations during Human Reaching Could Be Preserved in Memory for at Least 850 ms.

Authors:  James Mathew; Philippe Lefevre; Frederic Crevecoeur
Journal:  eNeuro       Date:  2020-12-02

10.  Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.

Authors:  Bastien Berret; Adrien Conessa; Nicolas Schweighofer; Etienne Burdet
Journal:  PLoS Comput Biol       Date:  2021-06-11       Impact factor: 4.475

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