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Effective Part-Task Training as Evidence of Distinct Adaptive Processes with Different Time Scales

机译:有效的部分任务培训以证明不同时间尺度的不同适应过程

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摘要

For some types of visuo-motor transformations like large visuo-motor rotations or the complex transformation of a sliding first-order lever, distinct adaptive processes have been hypothesized that produce a rapid, discrete approximation of the transformation and a slow, graded fine tuning, respectively. Here we investigate whether part-task training of only the second of these processes, namely the fine tuning, transfers to the subsequent performance in a condition with the full transformation of the sliding first-order lever. Therefore, we compared performance of three groups with different practice conditions during transfer to the full transformation. While two groups only practiced the fine tuning without the right-left inversion of the lever prior to transfer, a third group practiced the full lever transformation. Our results show a positive, but less than perfect transfer of the isolated practice of the fine tuning on performance with the full transformation. For the fine tuning itself, transfer was not reliably different from being perfect. The observation that the fine tuning can be acquired separately and added to the later adaptation to the left-right inversion of the lever supports the notion that these slow and fast processes progress rather independently. The additional finding that the preceding acquisition of the fine tuning also facilitates the subsequent rapid process could be due to generalized learning-to-learn or to a more precise assignment of movement errors to the process from which they originate.
机译:对于某些类型的视觉运动变换,例如大视觉运动旋转或滑动一阶杠杆的复杂变换,已经假设了不同的自适应过程,这些过程会产生快速,离散的变换近似和缓慢的渐变精细调整,分别。在这里,我们研究了仅在这些过程中的第二个过程(即微调)的部分任务训练是否在滑动一阶杠杆完全转换的情况下转移到后续性能。因此,我们比较了在转移到完全转换过程中具有不同练习条件的三组的性能。虽然两组仅练习微调,但在转移之前不进行杠杆的左右反转,而第三组练习了完整的杠杆变换。我们的结果表明,通过完全转换对性能进行微调的孤立实践具有积极意义,但还不够完美。对于微调本身,传输与完美无异。可以单独获取微调并将其添加到以后对杠杆左右反转的适应性这一观点支持了这样的观点,即这些缓慢和快速的过程相当独立地进行。先前获得的微调还有助于随后的快速过程的另一个发现可能是由于广义的学习学习或将运动误差更精确地分配给了它们所源自的过程。

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  • 年(卷),期 -1(8),3
  • 年度 -1
  • 页码 e60196
  • 总页数 12
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