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Interacting Adaptive Processes with Different Timescales Underlie Short-Term Motor Learning

机译:交互的自适应过程与不同的时间尺度是短期运动学习的基础

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摘要

Multiple processes may contribute to motor skill acquisition, but it is thought that many of these processes require sleep or the passage of long periods of time ranging from several hours to many days or weeks. Here we demonstrate that within a timescale of minutes, two distinct fast-acting processes drive motor adaptation. One process responds weakly to error but retains information well, whereas the other responds strongly but has poor retention. This two-state learning system makes the surprising prediction of spontaneous recovery (or adaptation rebound) if error feedback is clamped at zero following an adaptation-extinction training episode. We used a novel paradigm to experimentally confirm this prediction in human motor learning of reaching, and we show that the interaction between the learning processes in this simple two-state system provides a unifying explanation for several different, apparently unrelated, phenomena in motor adaptation including savings, anterograde interference, spontaneous recovery, and rapid unlearning. Our results suggest that motor adaptation depends on at least two distinct neural systems that have different sensitivity to error and retain information at different rates.
机译:多个过程可能有助于运动技能的获得,但据认为,这些过程中的许多过程都需要睡眠或经过数小时至数天或数周的长时间段。在这里,我们证明了在几分钟的时间内,两个截然不同的快速动作过程会驱动电机的适应。一个过程对错误的响应较弱,但保留的信息很好,而另一个过程响应却很强,但保留率很低。如果在自适应消光训练后将错误反馈限制为零,则这种两种状态的学习系统会做出令人惊讶的自发恢复(或自适应反弹)预测。我们使用一种新颖的范例来实验性地证实人类运动学习中的这一预测,并且表明在这种简单的两态系统中,学习过程之间的相互作用为运动适应中的几种不同的,看似无关的现象提供了统一的解释,包括节省,顺行干扰,自发恢复和快速学习。我们的结果表明,运动适应取决于至少两个不同的神经系统,这些系统对错误的敏感性不同,并且以不同的速率保留信息。

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