Dhawale Ashesh K, Smith Maurice A, Ölveczky Bence P
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138; email:
Center for Brain Science, Harvard University, Cambridge, Massachusetts 02138.
Annu Rev Neurosci. 2017 Jul 25;40:479-498. doi: 10.1146/annurev-neuro-072116-031548. Epub 2017 May 10.
Trial-to-trial variability in the execution of movements and motor skills is ubiquitous and widely considered to be the unwanted consequence of a noisy nervous system. However, recent studies have suggested that motor variability may also be a feature of how sensorimotor systems operate and learn. This view, rooted in reinforcement learning theory, equates motor variability with purposeful exploration of motor space that, when coupled with reinforcement, can drive motor learning. Here we review studies that explore the relationship between motor variability and motor learning in both humans and animal models. We discuss neural circuit mechanisms that underlie the generation and regulation of motor variability and consider the implications that this work has for our understanding of motor learning.
运动和运动技能执行过程中的逐次试验变异性普遍存在,并且被广泛认为是嘈杂神经系统产生的不良后果。然而,最近的研究表明,运动变异性也可能是感觉运动系统运作和学习方式的一个特征。这种观点源于强化学习理论,将运动变异性等同于对运动空间的有目的探索,当与强化相结合时,可驱动运动学习。在此,我们综述了探索人类和动物模型中运动变异性与运动学习之间关系的研究。我们讨论了运动变异性产生和调节背后的神经回路机制,并思考这项工作对我们理解运动学习的意义。