Psychologisches Institut II, Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, Münster, Germany.
J Neurophysiol. 2010 Jun;103(6):3302-10. doi: 10.1152/jn.00970.2009. Epub 2010 Apr 14.
The saccadic system is a prime example of motor control without continuous visual feedback. These systems suffer from a strong vulnerability against disturbances. The mechanism of saccadic adaptation allows adjustment of saccades to alterations arising not only from anatomical changes but also from external changes. The weighting of errors according to their reliability provides a strong benefit for an optimized control system. Thus the consistency of visual error should influence the characteristics of adaptation. In the typical adaptation paradigm a visual error is introduced by stepping the target during the saccade by a given amount. In this paradigm, the retinal error varies with the accuracy of the saccade and the step size. To study the influence of error consistency we use a variant of the adaptation paradigm which allows to specify a constant error size. Intrasaccadic target step sizes were calculated with respect to the predicted landing position of each individual saccade. The consistency of the visual error was varied by introducing different levels of noise to the intrasaccadic target step. Different mean intrasaccadic target step sizes were examined: positive target step, negative target step, and a condition in which the mean of the error distribution was clamped to the fovea. In all three conditions saccadic adaptation was strongest when the error was consistent and became weaker as the error became more variable. These results show that saccadic adaptation takes not only the average error but also the consistency of the error into account.
扫视系统是一个没有连续视觉反馈的运动控制的典型范例。这些系统容易受到干扰的强烈影响。扫视适应的机制允许对视动的调整,不仅源于解剖结构的改变,还源于外部变化。根据其可靠性对误差进行加权,为优化控制系统提供了很大的益处。因此,视觉误差的一致性应该会影响适应的特征。在典型的适应范例中,通过在扫视期间将目标移动给定量来引入视觉误差。在这个范例中,视网膜误差随扫视的准确性和步长大小而变化。为了研究误差一致性的影响,我们使用适应范例的一种变体,该变体允许指定恒定的误差大小。内扫视目标步长大小是根据每个单独扫视的预测着陆位置计算的。通过将内扫视目标步长的不同水平的噪声引入,来改变视觉误差的一致性。研究了不同的内扫视目标步长均值:正目标步长、负目标步长以及将误差分布的均值固定在中央凹的条件。在所有三种情况下,当误差一致时,扫视适应最强,当误差变得更可变时,适应变弱。这些结果表明,扫视适应不仅考虑平均误差,还考虑误差的一致性。