Literature DB >> 23100429

Context-dependent learning interferes with visuomotor transformations for manipulation planning.

Qiushi Fu1, Marco Santello.   

Abstract

How the CNS transforms visual information of object properties into motor commands for manipulation is not well understood. We designed novel apparatus and protocols in which human subjects had to learn manipulations in two different contexts. The first task involved manipulating a U-shaped object that can afford two actions by grasping different parts of the same object. The second task involved manipulating two L-shaped objects that were posed at different orientations. In both experiments, subjects learned the manipulation over consecutive trials in one context before switching to a different context. For both objects and tasks, the visual geometric cues were effective in eliciting anticipatory control with little error at the beginning of learning of the first context. However, subjects failed to use the visual information to the same extent when switching to the second context as sensorimotor memory built through eight consecutive repetitions in the first context exerted a strong interference on subjects' ability to use visual cues again when the context changed. A follow-up experiment where subjects were exposed to a pseudorandom sequence of context switches with the U-shaped object revealed that the interference caused by the preceding context persisted even when subjects switched context after only one trial. Our results suggest that learning generalization of dexterous manipulation is fundamentally limited by context-specific learning of motor actions and competition between vision-based motor planning and sensorimotor memory.

Entities:  

Mesh:

Year:  2012        PMID: 23100429      PMCID: PMC6704838          DOI: 10.1523/JNEUROSCI.2468-12.2012

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


  12 in total

1.  Learned manipulation at unconstrained contacts does not transfer across hands.

Authors:  Qiushi Fu; Jason Y Choi; Andrew M Gordon; Mark Jesunathadas; Marco Santello
Journal:  PLoS One       Date:  2014-09-18       Impact factor: 3.240

2.  Visual Cues of Object Properties Differentially Affect Anticipatory Planning of Digit Forces and Placement.

Authors:  Trevor Lee-Miller; Michelle Marneweck; Marco Santello; Andrew M Gordon
Journal:  PLoS One       Date:  2016-04-21       Impact factor: 3.240

3.  Credit assignment between body and object probed by an object transportation task.

Authors:  Gaiqing Kong; Zhihao Zhou; Qining Wang; Konrad Kording; Kunlin Wei
Journal:  Sci Rep       Date:  2017-10-17       Impact factor: 4.379

4.  An error-tuned model for sensorimotor learning.

Authors:  James N Ingram; Mohsen Sadeghi; J Randall Flanagan; Daniel M Wolpert
Journal:  PLoS Comput Biol       Date:  2017-12-18       Impact factor: 4.475

5.  Communication and Inference of Intended Movement Direction during Human-Human Physical Interaction.

Authors:  Keivan Mojtahedi; Bryan Whitsell; Panagiotis Artemiadis; Marco Santello
Journal:  Front Neurorobot       Date:  2017-04-13       Impact factor: 2.650

6.  Multiple motor memories are learned to control different points on a tool.

Authors:  James B Heald; James N Ingram; J Randall Flanagan; Daniel M Wolpert
Journal:  Nat Hum Behav       Date:  2018-04-09

7.  The visual geometry of a tool modulates generalization during adaptation.

Authors:  Mohsen Sadeghi; Hannah R Sheahan; James N Ingram; Daniel M Wolpert
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

8.  Visual cues, expectations, and sensorimotor memories in the prediction and perception of object dynamics during manipulation.

Authors:  Thomas Rudolf Schneider; Gavin Buckingham; Joachim Hermsdörfer
Journal:  Exp Brain Res       Date:  2020-01-13       Impact factor: 1.972

9.  Effects of visual cues of object density on perception and anticipatory control of dexterous manipulation.

Authors:  Céline Crajé; Marco Santello; Andrew M Gordon
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

10.  Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control.

Authors:  Brian A Cohn; May Szedlák; Bernd Gärtner; Francisco J Valero-Cuevas
Journal:  Front Comput Neurosci       Date:  2018-09-11       Impact factor: 2.380

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