van Beers Robert J
Department of Neuroscience, Erasmus MC, Rotterdam, The Netherlands.
J Neurosci. 2007 Aug 15;27(33):8757-70. doi: 10.1523/JNEUROSCI.2311-07.2007.
Our movements are variable, but the origin of this variability is poorly understood. We examined the sources of variability in human saccadic eye movements. In two experiments, we measured the spatiotemporal variability in saccade trajectories as a function of movement direction and amplitude. One of our new observations is that the variability in movement direction is smaller for purely horizontal and vertical saccades than for saccades in oblique directions. We also found that saccade amplitude, duration, and peak velocity are all correlated with one another. To determine the origin of the observed variability, we estimated the noise in motor commands from the observed spatiotemporal variability, while taking into account the variability resulting from uncertainty in localization of the target. This analysis revealed that uncertainty in target localization is the major source of variability in saccade endpoints, whereas noise in the magnitude of the motor commands explains a slightly smaller fraction. In addition, there is temporal variability such that saccades with a longer than average duration have a smaller than average peak velocity. This noise model has a large generality because it correctly predicts the variability in other data sets, which contain saccades starting from very different initial locations. Because the temporal noise most likely originates in movement planning, and the motor command noise in movement execution, we conclude that uncertainty in sensory signals and noise in movement planning and execution all contribute to the variability in saccade trajectories. These results are important for understanding how the brain controls movement.
我们的动作是多变的,但这种变异性的起源却鲜为人知。我们研究了人类眼球扫视运动变异性的来源。在两个实验中,我们测量了扫视轨迹的时空变异性作为运动方向和幅度的函数。我们的一个新发现是,纯水平和垂直扫视的运动方向变异性比斜向扫视的要小。我们还发现扫视幅度、持续时间和峰值速度都相互关联。为了确定观察到的变异性的起源,我们从观察到的时空变异性估计运动指令中的噪声,同时考虑到目标定位不确定性导致的变异性。该分析表明,目标定位的不确定性是扫视终点变异性的主要来源,而运动指令大小的噪声所解释的比例略小。此外,存在时间变异性,即持续时间长于平均水平的扫视其峰值速度低于平均水平。这个噪声模型具有很大的通用性,因为它能正确预测其他数据集的变异性,这些数据集包含从非常不同的初始位置开始的扫视。由于时间噪声很可能起源于运动规划,而运动指令噪声起源于运动执行,我们得出结论,感觉信号的不确定性以及运动规划和执行中的噪声都导致了扫视轨迹的变异性。这些结果对于理解大脑如何控制运动很重要。