Taylor Jordan A, Ivry Richard B
Department of Psychology, Princeton University, Princeton, NJ, USA.
Department of Psychology, University of California, Berkeley, CA, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
Prog Brain Res. 2014;210:217-53. doi: 10.1016/B978-0-444-63356-9.00009-1.
Traditionally, motor learning has been studied as an implicit learning process, one in which movement errors are used to improve performance in a continuous, gradual manner. The cerebellum figures prominently in this literature given well-established ideas about the role of this system in error-based learning and the production of automatized skills. Recent developments have brought into focus the relevance of multiple learning mechanisms for sensorimotor learning. These include processes involving repetition, reinforcement learning, and strategy utilization. We examine these developments, considering their implications for understanding cerebellar function and how this structure interacts with other neural systems to support motor learning. Converging lines of evidence from behavioral, computational, and neuropsychological studies suggest a fundamental distinction between processes that use error information to improve action execution or action selection. While the cerebellum is clearly linked to the former, its role in the latter remains an open question.
传统上,运动学习被视为一个隐性学习过程,在这个过程中,运动误差被用于以持续、渐进的方式提高表现。鉴于关于该系统在基于误差的学习和自动化技能产生中的作用的既定观点,小脑在这一文献中占据显著地位。最近的进展使人们关注到多种学习机制与感觉运动学习的相关性。这些机制包括涉及重复、强化学习和策略运用的过程。我们研究这些进展,考虑它们对于理解小脑功能以及该结构如何与其他神经系统相互作用以支持运动学习的意义。来自行为、计算和神经心理学研究的多条证据表明,利用误差信息来改善动作执行或动作选择的过程之间存在根本区别。虽然小脑显然与前者相关联,但其在后者中的作用仍然是一个悬而未决的问题。