Literature DB >> 18784273

Long-term retention explained by a model of short-term learning in the adaptive control of reaching.

Wilsaan M Joiner1, Maurice A Smith.   

Abstract

Extensive theoretical, psychophysical, and neurobiological work has focused on the mechanisms by which short-term learning develops into long-term memory. Better understanding of these mechanisms may lead to the ability to improve the efficiency of training procedures. A key phenomenon in the formation of long-term memory is the effect of over learning on retention-discovered by Ebbinghaus in 1885: when the initial training period in a task is prolonged even beyond what is necessary for good immediate recall, long-term retention improves. Although this over learning effect has received considerable attention as a phenomenon in psychology research, the mechanisms governing this process are not well understood, and the ability to predict the benefit conveyed by varying degrees of over learning does not yet exist. Here we studied the relationship between the duration of an initial training period and the amount of retention 24 h later for the adaptation of human reaching arm movements to a novel force environment. We show that in this motor adaptation task, the amount of long-term retention is predicted not by the overall performance level achieved during the training period but rather by the level of a specific component process in a multi-rate model of short-term memory formation. These findings indicate that while multiple learning processes determine the ability to learn a motor adaptation, only one provides a gateway to long-term memory formation. Understanding the dynamics of this key learning process may allow for the rational design of training and rehabilitation paradigms that maximize the long-term benefit of each session.

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Year:  2008        PMID: 18784273      PMCID: PMC2585394          DOI: 10.1152/jn.90706.2008

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


  32 in total

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Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

2.  Computational nature of human adaptive control during learning of reaching movements in force fields.

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Journal:  Biol Cybern       Date:  1999-07       Impact factor: 2.086

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Journal:  Exp Brain Res       Date:  2001-11       Impact factor: 1.972

Review 4.  Consolidation of motor memory.

Authors:  John W Krakauer; Reza Shadmehr
Journal:  Trends Neurosci       Date:  2005-11-14       Impact factor: 13.837

5.  Intermittent practice facilitates stable motor memories.

Authors:  Simon A Overduin; Andrew G Richardson; Courtney E Lane; Emilio Bizzi; Daniel Z Press
Journal:  J Neurosci       Date:  2006-11-15       Impact factor: 6.167

6.  A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales.

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Journal:  Neuron       Date:  2007-04-19       Impact factor: 17.173

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Journal:  J Neurosci       Date:  1997-01-01       Impact factor: 6.167

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Journal:  J Neurophysiol       Date:  1987-10       Impact factor: 2.714

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Authors:  T Brashers-Krug; R Shadmehr; E Bizzi
Journal:  Nature       Date:  1996-07-18       Impact factor: 49.962

10.  Interacting adaptive processes with different timescales underlie short-term motor learning.

Authors:  Maurice A Smith; Ali Ghazizadeh; Reza Shadmehr
Journal:  PLoS Biol       Date:  2006-05-23       Impact factor: 8.029

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  88 in total

1.  Environmental experience within and across testing days determines the strength of human visuomotor adaptation.

Authors:  Jennifer A Semrau; Amy L Daitch; Kurt A Thoroughman
Journal:  Exp Brain Res       Date:  2011-12-06       Impact factor: 1.972

2.  Statistically characterizing intra- and inter-individual variability in children with Developmental Coordination Disorder.

Authors:  Bradley R King; Jeffrey R Harring; Marcio A Oliveira; Jane E Clark
Journal:  Res Dev Disabil       Date:  2011-01-31

3.  Linear hypergeneralization of learned dynamics across movement speeds reveals anisotropic, gain-encoding primitives for motor adaptation.

Authors:  Wilsaan M Joiner; Obafunso Ajayi; Gary C Sing; Maurice A Smith
Journal:  J Neurophysiol       Date:  2010-09-29       Impact factor: 2.714

4.  Protection and expression of human motor memories.

Authors:  Sarah E Pekny; Sarah E Criscimagna-Hemminger; Reza Shadmehr
Journal:  J Neurosci       Date:  2011-09-28       Impact factor: 6.167

5.  Mechanisms of the contextual interference effect in individuals poststroke.

Authors:  Nicolas Schweighofer; Jeong-Yoon Lee; Hui-Ting Goh; Youggeun Choi; Sung Shin Kim; Jill Campbell Stewart; Rebecca Lewthwaite; Carolee J Winstein
Journal:  J Neurophysiol       Date:  2011-08-10       Impact factor: 2.714

6.  Sensitivity to prediction error in reach adaptation.

Authors:  Mollie K Marko; Adrian M Haith; Michelle D Harran; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2012-07-05       Impact factor: 2.714

7.  Intermanual transfer characteristics of dynamic learning: direction, coordinate frame, and consolidation of interlimb generalization.

Authors:  Christian Stockinger; Benjamin Thürer; Anne Focke; Thorsten Stein
Journal:  J Neurophysiol       Date:  2015-09-30       Impact factor: 2.714

8.  Persistence of motor memories reflects statistics of the learning event.

Authors:  Vincent S Huang; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2009-06-03       Impact factor: 2.714

9.  Extinction interferes with the retrieval of visuomotor memories through a mechanism involving the sensorimotor cortex.

Authors:  Jorge I Villalta; Sofia M Landi; Ana Fló; Valeria Della-Maggiore
Journal:  Cereb Cortex       Date:  2013-12-19       Impact factor: 5.357

10.  Contributions of the cerebellum and the motor cortex to acquisition and retention of motor memories.

Authors:  David J Herzfeld; Damien Pastor; Adrian M Haith; Yves Rossetti; Reza Shadmehr; Jacinta O'Shea
Journal:  Neuroimage       Date:  2014-05-09       Impact factor: 6.556

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