Davidson Paul R, Wolpert Daniel M
Sobell Dept of Motor Neuroscience, Institute of Neurology, University College London, Queen Square, WC1 N 3BG, London, UK.
Exp Brain Res. 2004 Apr;155(3):334-40. doi: 10.1007/s00221-003-1730-z. Epub 2004 Jan 9.
Our ability to additively combine two learned internal models was investigated by studying the forces people generate when lifting objects with a precision grip. Subjects were required to alternately lift two objects of identical physical appearance but differing weight. Grip force scaling prior to lift-off was used to estimate the output of the internal model associated with each object. Appropriate internal models were formed when alternately lifting two objects of different weight. The objects were then combined by stacking them one upon the other, and the combined object was lifted. Results show that subjects can additively combine internal models of object dynamics but the sum is biased by a default estimate of the object's weight.
通过研究人们用精确抓握方式提起物体时产生的力，我们对两个习得的内部模型进行相加组合的能力展开了研究。受试者被要求交替提起两个外观相同但重量不同的物体。在提起物体之前的握力缩放用于估计与每个物体相关的内部模型的输出。当交替提起两个重量不同的物体时，会形成适当的内部模型。然后将物体一个叠在另一个上面进行组合，并提起组合后的物体。结果表明，受试者能够对物体动力学的内部模型进行相加组合，但总和会受到物体重量默认估计值的影响。
