Gonzalez Castro L Nicolas, Wu Howard G, Smith Maurice A
Harvard-MIT Division of Health Sciences andTechnology, Harvard School of Engineering and Applied Sciences, Cambridge, MA, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4050-2. doi: 10.1109/IEMBS.2011.6091006.
The shape of the directional generalization function for adaptation to a viscous force-field environment has been controversial. Some studies have suggested wide, essentially global generalization and others have suggested narrow, local generalization. Here, we show definitively that motor adaptation displays narrow generalization with a minimal global component and a peak at the trained movement direction for both single-trial and asymptotic adaptation. Furthermore, we find that reaching movements in opposite directions do not interfere with one another during force-field learning.
适应粘性力场环境的方向泛化函数的形状一直存在争议。一些研究表明存在广泛的、本质上是全局的泛化，而另一些研究则表明是狭窄的、局部的泛化。在这里，我们明确表明，无论是单次试验适应还是渐进适应，运动适应都表现出狭窄的泛化，具有最小的全局成分，并且在训练的运动方向上达到峰值。此外，我们发现在力场学习过程中，相反方向的伸手动作不会相互干扰。
