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The influence of catch trials on the consolidation of motor memory in force field adaptation tasks

机译:抓捕试验对力场适应任务中运动记忆巩固的影响

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摘要

In computational neuroscience it is generally accepted that human motor memory contains neural representations of the physics of the musculoskeletal system and the objects in the environment. These representations are called “internal models”. Force field studies, in which subjects have to adapt to dynamic perturbations induced by a robotic manipulandum, are an established tool to analyze the characteristics of such internal models. The aim of the current study was to investigate whether catch trials during force field learning could influence the consolidation of motor memory in more complex tasks. Thereby, the force field was more than double the force field of previous studies (35 N·s/m). Moreover, the arm of the subjects was not supported. A total of 46 subjects participated in this study and performed center-out movements at a robotic manipulandum in two different force fields. Two control groups learned force field A on day 1 and were retested in the same force field on day 3 (AA). Two test groups additionally learned an interfering force field B (= −A) on day 2 (ABA). The difference between the two test and control groups, respectively, was the absence (0%) or presence (19%) of catch trials, in which the force field was turned-off suddenly. The results showed consolidation of force field A on day 3 for both control groups. Test groups showed no consolidation of force field A (19% catch trials) and even poorer performance on day 3 (0% catch trials). In conclusion, it can be stated that catch trials seem to have a positive effect on the performance on day 3 but do not trigger a consolidation process as shown in previous studies that used a lower force field viscosity with supported arm. These findings indicate that the results of previous studies in which less complex tasks were analyzed, cannot be fully transferred to more complex tasks. Moreover, the effects of catch trials in these situations are insufficiently understood and further research is needed.
机译:在计算神经科学中,通常公认的是,人类运动记忆包含肌肉骨骼系统和环境中物体的神经表示。这些表示称为“内部模型”。力场研究是一种分析此类内部模型特征的成熟工具,在该领域中,受试者必须适应由机器人Manipulandum引起的动态扰动。本研究的目的是调查在力场学习期间进行的抓捕试验是否会影响更复杂任务中运动记忆的巩固。因此,力场是先前研究的力场的两倍以上(35 N·s / m)。此外,不支持受试者的手臂。共有46位受试者参加了这项研究,并在两个不同的力场中的机器人Manipulandum上进行了中心向外运动。两个对照组在第1天学习了力场A,并在第3天(AA)在相同的力场中进行了重新测试。另外两个测试组在第2天(ABA)学会了干扰力场B(= -A)。两个测试组和对照组之间的差异分别是不存在(0%)或存在(19%)抓捕试验,其中突然关闭了力场。结果显示两个对照组在第3天的力场A合并。测试组显示没有力场A的巩固(19%抓捕试验),甚至在第3天的表现也较差(0%抓捕试验)。总之,可以说,抓捕试验似乎对第3天的性能产生积极影响,但并没有像以前的研究(使用支撑臂上较低的力场粘度)那样触发固结过程。这些发现表明,先前研究的结果(其中分析了不太复杂的任务)无法完全转移到更复杂的任务上。此外,对于这些情况下的捕捞试验的效果还知之甚少,需要进一步研究。

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