Prospective errors determine motor learning.
Prospective errors determine motor learning.
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DOI：
10.1038/ncomms6925
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发表时间：
2015-01-30
影响因子：
16.6
通讯作者：
Nozaki, Daichi
中科院分区：
文献类型：
--
作者：
Takiyama, Ken;Hirashima, Masaya;Nozaki, Daichi
运动学习的不同特征已经被许多研究报道，但是没有一个单一的理论框架同时解释这些特征。在这里，我们提出了一个电机学习模型，以解释这些功能在一个统一的方式，通过扩展电机原始框架。该模型假设运动基元的招募模式由即将到来的运动的预测运动误差（预期误差）确定。为了验证这一想法，我们进行了一个行为实验来检验模型的新预测：在经历了一个运动错误更容易预测的环境后，随后的运动学习应该会变得更快。实验结果支持我们的预测，这表明前瞻性错误可能编码在运动原语。此外，我们证明，该模型具有很强的解释能力，再现了各种各样的运动学习相关的现象，已分别由不同的计算模型解释。 运动技能学习具有认知过程多样性的特点，缺乏统一的理论框架。在这里，Takiyama等人提出了一个模型，证明运动学习是由前瞻性错误决定的，他们在一个专门设计的视觉适应任务中进行了测试。
Diverse features of motor learning have been reported by numerous studies, but no single theoretical framework concurrently accounts for these features. Here, we propose a model for motor learning to explain these features in a unified way by extending a motor primitive framework. The model assumes that the recruitment pattern of motor primitives is determined by the predicted movement error of an upcoming movement (prospective error). To validate this idea, we perform a behavioural experiment to examine the model’s novel prediction: after experiencing an environment in which the movement error is more easily predictable, subsequent motor learning should become faster. The experimental results support our prediction, suggesting that the prospective error might be encoded in the motor primitives. Furthermore, we demonstrate that this model has a strong explanatory power to reproduce a wide variety of motor-learning-related phenomena that have been separately explained by different computational models. Motor learning is characterized by diverse cognitive processes, which lack a unified theoretical framework. Here, Takiyama et al. present a model demonstrating that motor learning is determined by prospective errors, which they test in a specially designed visuomotor adaptation task.
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