Centre for Robotics and Neural Systems, School of Computing, Electronics and Mathematics, University of Plymouth, Plymouth, United Kingdom.
Neuromuscular Diagnostics, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.
Sci Rep. 2017 Aug 10;7(1):7806. doi: 10.1038/s41598-017-05697-z.
Rapid learning can be critical to ensure elite performance in a changing world or to recover basic movement after neural injuries. Recently it was shown that the variability of follow-through movements affects the rate of motor memory formation. Here we investigate if lead-in movement has a similar effect on learning rate. We hypothesized that both modality and variability of lead-in movement would play critical roles, with simulations suggesting that only changes in active lead-in variability would exhibit slower learning. We tested this experimentally using a two-movement paradigm, with either visual or active initial lead-in movements preceeding a second movement performed in a force field. As predicted, increasing active lead-in variability reduced the rate of motor adaptation, whereas changes in visual lead-in variability had little effect. This demonstrates that distinct neural tuning activity is induced by different lead-in modalities, subsequently influencing the access to, and switching between, distinct motor memories.
快速学习对于确保在瞬息万变的世界中取得卓越表现或在神经损伤后恢复基本运动能力至关重要。最近的研究表明，后续运动的可变性会影响运动记忆形成的速度。在这里，我们研究了引导运动是否对学习速度有类似的影响。我们假设引导运动的模式和可变性都将起到关键作用，模拟结果表明，只有主动引导可变性的变化才会表现出较慢的学习速度。我们使用双运动范式进行了实验测试，该范式在第二个在力场中进行的运动之前，分别使用视觉或主动初始引导运动。正如预测的那样，增加主动引导的可变性会降低运动适应的速度，而视觉引导可变性的变化则几乎没有影响。这表明不同的引导模式会引起不同的神经调谐活动，进而影响对不同运动记忆的访问和切换。
