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运动准备时间对视觉运动学习及记忆保持表现的影响。

The influence of movement preparation time on the expression of visuomotor learning and savings.

作者信息

Haith Adrian M, Huberdeau David M, Krakauer John W

机构信息

Department of Neurology,

Department of Biomedical Engineering, and.

出版信息

J Neurosci. 2015 Apr 1;35(13):5109-17. doi: 10.1523/JNEUROSCI.3869-14.2015.

Abstract

Following a change in the environment or motor apparatus, human subjects are able to rapidly compensate their movements to recover accurate performance. This ability to adapt is thought to be achieved through multiple, qualitatively distinct learning processes acting in parallel. It is unclear, however, what the relative contributions of these multiple processes are during learning. In particular, long-term memories in such paradigms have been extensively studied through the phenomenon of savings-faster adaptation to a given perturbation the second time it is experienced-but it is unclear which components of learning contribute to this effect. Here we show that distinct components of learning in an adaptation task can be dissociated based on the amount of preparation time they require. During adaptation, we occasionally forced subjects to generate movements at very low preparation times. Early in learning, subjects expressed only a limited amount of their prior learning in these trials, though performance improved gradually with further practice. Following washout, subjects exhibited a strong and persistent aftereffect in trials in which preparation time was limited. When subjects were exposed to the same perturbation twice in successive days, they adapted faster the second time. This savings effect was, however, not seen in movements generated at low preparation times. These results demonstrate that preparation time plays a critical role in the expression of some components of learning but not others. Savings is restricted to those components that require prolonged preparation to be expressed and might therefore reflect a declarative rather than procedural form of memory.

摘要

在环境或运动器械发生变化后,人类受试者能够迅速调整其动作,以恢复准确的表现。这种适应能力被认为是通过多个并行运作、性质不同的学习过程实现的。然而,在学习过程中,这些多个过程的相对贡献尚不清楚。特别是,在这类范式中,长期记忆已经通过节省现象得到了广泛研究——即第二次经历给定扰动时适应速度更快——但尚不清楚学习的哪些组成部分促成了这种效应。在这里,我们表明,在适应任务中,学习的不同组成部分可以根据它们所需的准备时间量来区分。在适应过程中,我们偶尔会迫使受试者在极短的准备时间内产生动作。在学习早期,受试者在这些试验中仅表现出有限的先前学习成果,不过随着进一步练习,表现逐渐改善。在消退之后,受试者在准备时间有限的试验中表现出强烈且持续的后效。当受试者连续两天暴露于相同扰动时,他们第二次适应得更快。然而,在准备时间较短时产生的动作中未观察到这种节省效应。这些结果表明,准备时间在某些学习组成部分的表现中起关键作用,而在其他部分则不然。节省效应仅限于那些需要较长准备时间才能表现出来的组成部分,因此可能反映的是陈述性而非程序性的记忆形式。

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本文引用的文献

2
Cerebellar and prefrontal cortex contributions to adaptation, strategies, and reinforcement learning.
Prog Brain Res. 2014;210:217-53. doi: 10.1016/B978-0-444-63356-9.00009-1.
3
Purkinje-cell plasticity and cerebellar motor learning are graded by complex-spike duration.
Nature. 2014 Jun 26;510(7506):529-32. doi: 10.1038/nature13282. Epub 2014 May 11.
4
Explicit and implicit contributions to learning in a sensorimotor adaptation task.
J Neurosci. 2014 Feb 19;34(8):3023-32. doi: 10.1523/JNEUROSCI.3619-13.2014.
5
Temporal structure of motor variability is dynamically regulated and predicts motor learning ability.
Nat Neurosci. 2014 Feb;17(2):312-21. doi: 10.1038/nn.3616. Epub 2014 Jan 12.
6
Extinction interferes with the retrieval of visuomotor memories through a mechanism involving the sensorimotor cortex.
Cereb Cortex. 2015 Jun;25(6):1535-43. doi: 10.1093/cercor/bht346. Epub 2013 Dec 19.
7
Cerebellar Purkinje cell activity drives motor learning.
Nat Neurosci. 2013 Dec;16(12):1734-6. doi: 10.1038/nn.3576. Epub 2013 Oct 27.
8
Declarative and nondeclarative memory: multiple brain systems supporting learning and memory.
J Cogn Neurosci. 1992 Summer;4(3):232-43. doi: 10.1162/jocn.1992.4.3.232.
9
Model-based and model-free mechanisms of human motor learning.
Adv Exp Med Biol. 2013;782:1-21. doi: 10.1007/978-1-4614-5465-6_1.
10
Gone in 0.6 seconds: the encoding of motor memories depends on recent sensorimotor states.
J Neurosci. 2012 Sep 12;32(37):12756-68. doi: 10.1523/JNEUROSCI.5909-11.2012.

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