Fajen Brett R
Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA.
J Vis. 2008 Aug 22;8(11):12.1-12. doi: 10.1167/8.11.12.
Many perceptual-motor skills can be captured in terms of mappings from information in sensory arrays to movements of the body, but little is known about how these mappings are acquired and updated. The present study demonstrates that people adapt to changes in the dynamics of a controlled system by learning novel mappings from information in optic flow to movement of the system. Two groups of subjects performed a simulated braking task, using a foot pedal to decelerate to a stop at a target. Brake dynamics were manipulated such that deceleration was proportional to pedal position for one group, and both pedal position and current speed for the other group. Both groups adapted to their respective brake dynamics by learning to use different combinations of optic flow field variables, revealing a form of adaptation that has not been previously reported, but likely plays a critical role in robust visuomotor control.
许多感知运动技能可以通过从感觉阵列中的信息到身体运动的映射来描述，但对于这些映射是如何获得和更新的却知之甚少。本研究表明，人们通过学习从光流信息到系统运动的新映射来适应受控系统动力学的变化。两组受试者执行了一项模拟制动任务，使用脚踏板在目标处减速至停车。对制动动力学进行了操纵，使得一组的减速与踏板位置成正比，另一组的减速与踏板位置和当前速度都成正比。两组都通过学习使用光流场变量的不同组合来适应各自的制动动力学，揭示了一种以前未被报道过的适应形式，但可能在稳健的视觉运动控制中起着关键作用。
