Wolpert Daniel M, Flanagan J Randall
Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK.
Department of Psychology and Centre for Neuroscience Studies, Queen's University, Kingston, ON K7L 3N6, Canada.
Curr Opin Neurobiol. 2016 Apr;37:7-11. doi: 10.1016/j.conb.2015.12.003. Epub 2015 Dec 23.
The study of sensorimotor learning has a long history. With the advent of innovative techniques for studying learning at the behavioral and computational levels new insights have been gained in recent years into how the sensorimotor system acquires, retains, represents, retrieves and forgets sensorimotor tasks. In this review we highlight recent advances in the field of sensorimotor learning from a computational perspective. We focus on studies in which computational models are used to elucidate basic mechanisms underlying adaptation and skill acquisition in human behavior.
感觉运动学习的研究有着悠久的历史。随着行为和计算层面学习研究创新技术的出现，近年来人们对感觉运动系统如何获取、保留、表征、检索和遗忘感觉运动任务有了新的认识。在这篇综述中，我们从计算的角度突出了感觉运动学习领域的最新进展。我们关注那些使用计算模型来阐明人类行为中适应和技能习得基本机制的研究。
