Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
Prog Brain Res. 2011;191:3-29. doi: 10.1016/B978-0-444-53752-2.00016-3.
Human sensorimotor control has been predominantly studied using fixed tasks performed under laboratory conditions. This approach has greatly advanced our understanding of the mechanisms that integrate sensory information and generate motor commands during voluntary movement. However, experimental tasks necessarily restrict the range of behaviors that are studied. Moreover, the processes studied in the laboratory may not be the same processes that subjects call upon during their everyday lives. Naturalistic approaches thus provide an important adjunct to traditional laboratory-based studies. For example, wearable self-contained tracking systems can allow subjects to be monitored outside the laboratory, where they engage spontaneously in natural everyday behavior. Similarly, advances in virtual reality technology allow laboratory-based tasks to be made more naturalistic. Here, we review naturalistic approaches, including perspectives from psychology and visual neuroscience, as well as studies and technological advances in the field of sensorimotor control.
人类感觉运动控制主要是通过在实验室条件下进行的固定任务来研究的。这种方法极大地促进了我们对整合感觉信息和生成自愿运动期间运动命令的机制的理解。然而,实验任务必然会限制所研究的行为范围。此外,在实验室中研究的过程可能与受试者在日常生活中调用的过程不同。因此,自然主义方法是对传统基于实验室的研究的重要补充。例如,可穿戴式独立跟踪系统可以让受试者在实验室外进行监测,在那里他们自发地参与自然的日常行为。同样,虚拟现实技术的进步也使基于实验室的任务更加自然。在这里,我们回顾了自然主义的方法,包括心理学和视觉神经科学的观点,以及感觉运动控制领域的研究和技术进步。