Fishbach Alon, Roy Stephane A, Bastianen Christina, Miller Lee E, Houk James C
Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL 60611, USA.
Exp Brain Res. 2007 Feb;177(1):45-63. doi: 10.1007/s00221-006-0652-y. Epub 2006 Aug 30.
Rapid reaching movements of human and non-human primates are often characterized by irregular multi-peaked velocity profiles. How to interpret these irregularities is still under debate. While some reports assert that these irregularities are the result of a continuous controller interacting with the environment, we and others hold that the velocity irregularities are evidence for a controller that produces discrete movement corrections. Here we analyze rapid pronation/supination wrist movements in monkey during a 1D step-tracking task, where visual perturbations of the target were randomly introduced at movement onset. We use our recently introduced algorithm (Fishbach et al. in Exp Brain Res 164:442-457, 2005) to decompose an irregular movement into a primary movement and one or more discrete, corrective submovements. We first show that the visual perturbation has almost no effect on primary movements. In contrast, this perturbation influences the type and the extent of the corrective submovements that often follow primary movements. Secondly, we show that the highly variable timing of overlapping submovements does not depend directly on the visual perturbation but rather on an estimate of the movement error and on the movement's extent-to-go at the time of correction initiation. These results are consistent with a forward-model based intermittent controller with a non-linearity that depends both on a prediction of the magnitude and direction of the movement's error and on its variance. Corrections are initiated only when the predicted error is statistically significant. A simple abstract model that implements these principles accounts for the type and timing of the corrections observed in our data.
人类和非人类灵长类动物的快速伸手动作通常具有不规则的多峰速度曲线特征。如何解释这些不规则性仍在争论之中。虽然一些报告称这些不规则性是连续控制器与环境相互作用的结果,但我们和其他人认为速度不规则性是产生离散运动校正的控制器的证据。在这里,我们分析了猴子在一维步进跟踪任务中快速旋前/旋后腕部运动,在运动开始时随机引入目标的视觉扰动。我们使用我们最近引入的算法(Fishbach等人,《实验脑研究》,2005年,第164卷:442 - 457页)将不规则运动分解为一个主运动和一个或多个离散的校正子运动。我们首先表明视觉扰动对主运动几乎没有影响。相比之下,这种扰动会影响通常跟随主运动的校正子运动的类型和程度。其次,我们表明重叠子运动的高度可变时间并不直接取决于视觉扰动,而是取决于运动误差的估计以及校正开始时运动的剩余行程。这些结果与基于前向模型的间歇控制器一致,该控制器具有一种非线性,既取决于运动误差的大小和方向的预测,也取决于其方差。仅当预测误差在统计上显著时才启动校正。一个实现这些原理的简单抽象模型解释了我们数据中观察到的校正的类型和时间。