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本文引用的文献

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Differences in adaptation rates after virtual surgeries provide direct evidence for modularity.虚拟手术后适应率的差异为模块性提供了直接证据。
J Neurosci. 2013 Jul 24;33(30):12384-94. doi: 10.1523/JNEUROSCI.0122-13.2013.
2
Learning to be lazy: exploiting redundancy in a novel task to minimize movement-related effort.学会偷懒:在新任务中利用冗余来最小化与运动相关的努力。
J Neurosci. 2013 Feb 13;33(7):2754-60. doi: 10.1523/JNEUROSCI.1553-12.2013.
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Flexible cortical control of task-specific muscle synergies.灵活的皮质控制任务特异性肌肉协同作用。
J Neurosci. 2012 Sep 5;32(36):12349-60. doi: 10.1523/JNEUROSCI.5481-11.2012.
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Structural learning in feedforward and feedback control.前馈和反馈控制中的结构学习。
J Neurophysiol. 2012 Nov;108(9):2373-82. doi: 10.1152/jn.00315.2012. Epub 2012 Aug 15.
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Adaptation paths to novel motor tasks are shaped by prior structure learning.适应新运动任务的路径由先前的结构学习塑造。
J Neurosci. 2012 Jul 18;32(29):9898-908. doi: 10.1523/JNEUROSCI.0958-12.2012.
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Muscle coordination is habitual rather than optimal.肌肉协调性是习惯性的,而不是最佳的。
J Neurosci. 2012 May 23;32(21):7384-91. doi: 10.1523/JNEUROSCI.5792-11.2012.
7
Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.在适应新学习的感觉运动转换的旋转和缩放过程中,手指协调模式的重组。
J Neurophysiol. 2011 Jan;105(1):454-73. doi: 10.1152/jn.00247.2010. Epub 2010 Oct 27.
8
Optimality vs. variability: an example of multi-finger redundant tasks.最优性与可变性:多指冗余任务的一个例子。
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9
Motor memory and local minimization of error and effort, not global optimization, determine motor behavior.运动记忆和局部最小化误差和努力,而不是全局最优化,决定运动行为。
J Neurophysiol. 2010 Jul;104(1):382-90. doi: 10.1152/jn.01058.2009. Epub 2010 May 19.
10
Compensatory motor control after stroke: an alternative joint strategy for object-dependent shaping of hand posture.卒中后的代偿性运动控制:一种依赖于关节的针对手姿势的目标塑造的替代策略。
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学习具有和不具有重叠维度的冗余运动任务:促进和干扰效应。

Learning redundant motor tasks with and without overlapping dimensions: facilitation and interference effects.

作者信息

Ranganathan Rajiv, Wieser Jon, Mosier Kristine M, Mussa-Ivaldi Ferdinando A, Scheidt Robert A

机构信息

Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois 60611, Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, Illinois 60611,

Department of Biomedical Engineering, Marquette University, Milwaukee, Wisconsin 53233.

出版信息

J Neurosci. 2014 Jun 11;34(24):8289-99. doi: 10.1523/JNEUROSCI.4455-13.2014.

DOI:10.1523/JNEUROSCI.4455-13.2014
PMID:24920632
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4051979/
Abstract

Prior learning of a motor skill creates motor memories that can facilitate or interfere with learning of new, but related, motor skills. One hypothesis of motor learning posits that for a sensorimotor task with redundant degrees of freedom, the nervous system learns the geometric structure of the task and improves performance by selectively operating within that task space. We tested this hypothesis by examining if transfer of learning between two tasks depends on shared dimensionality between their respective task spaces. Human participants wore a data glove and learned to manipulate a computer cursor by moving their fingers. Separate groups of participants learned two tasks: a prior task that was unique to each group and a criterion task that was common to all groups. We manipulated the mapping between finger motions and cursor positions in the prior task to define task spaces that either shared or did not share the task space dimensions (x-y axes) of the criterion task. We found that if the prior task shared task dimensions with the criterion task, there was an initial facilitation in criterion task performance. However, if the prior task did not share task dimensions with the criterion task, there was prolonged interference in learning the criterion task due to participants finding inefficient task solutions. These results show that the nervous system learns the task space through practice, and that the degree of shared task space dimensionality influences the extent to which prior experience transfers to subsequent learning of related motor skills.

摘要

先前对运动技能的学习会形成运动记忆,这些记忆可能会促进或干扰新的但相关的运动技能的学习。运动学习的一种假设认为,对于具有冗余自由度的感觉运动任务,神经系统会学习任务的几何结构,并通过在该任务空间内进行选择性操作来提高表现。我们通过研究两项任务之间的学习迁移是否取决于它们各自任务空间之间的共享维度,来检验这一假设。人类参与者佩戴数据手套,通过移动手指来学习操纵电脑光标。不同组的参与者学习两项任务:每组独有的先前任务和所有组共有的标准任务。我们在前一项任务中操纵手指动作与光标位置之间的映射,以定义与标准任务共享或不共享任务空间维度(x-y轴)的任务空间。我们发现,如果先前任务与标准任务共享任务维度,那么在标准任务表现上会有初始促进作用。然而,如果先前任务与标准任务不共享任务维度,由于参与者找到低效的任务解决方案,在学习标准任务时会有长期干扰。这些结果表明,神经系统通过练习学习任务空间,并且共享任务空间维度的程度会影响先前经验转移到后续相关运动技能学习的程度。