Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK; Division of Neurosurgery, Wessex Neurological Centre, University Hospital Southampton, Southampton, UK.
Eur J Neurosci. 2014 Jan;39(1):159-64. doi: 10.1111/ejn.12396. Epub 2013 Oct 30.
In the anti-saccade task, a subject must make a saccadic eye movement in the opposite direction from a suddenly-presented visual target. This sets up a conflict between the natural tendency to make a pro-saccade towards the target and the required anti-saccade. Consequently there is a tendency to make errors, usually corrected by a second movement in the correct anti-saccade direction. In a previous paper, we showed that a very simple model, with racing LATER (Linear Approach to Threshold at Ergodic Rate) units for the pro- and anti-directions, and a stop unit that inhibits the impending error response, could account precisely for the detailed distributions of reaction times both for correct and error responses. However, the occurrence and timing of these final corrections have not been studied. We propose a novel mechanism: the decision race re-starts after an error. Here we describe measurements of all the responses in an anti-saccade task, including corrections, in a group of human volunteers, and show that the timing of the corrections themselves can be predicted by the same model with one additional assumption, that initiation of an incorrect pro-saccade also resets and initiates a corrective anti-saccade. No extra parameters are needed to predict this complex aspect of behaviour, adding weight to our proposal that we correct our mistakes by re-starting a neural decision race. The concept of re-starting a decision race is potentially exciting because it implies that neural processing of one decision can influence the next, and may be a fruitful way of understanding the complex behaviour underlying sequential decisions.
在反扫视任务中,被试必须使扫视眼动朝着与突然出现的视觉目标相反的方向进行。这在朝着目标进行扫视的自然趋势和所需的反扫视之间产生了冲突。因此,通常会出现错误,这些错误通常会通过第二次朝着正确的反扫视方向进行校正来纠正。在之前的一篇论文中,我们表明,一个非常简单的模型,具有用于正扫和反扫方向的快速 LATER(线性逼近遍历率)单元,以及一个阻止即将发生的错误响应的停止单元,可以精确地解释正确和错误响应的反应时间的详细分布。然而,这些最终校正的发生和时间尚未研究。我们提出了一种新的机制:错误发生后,决策竞赛重新开始。在这里,我们描述了一群人类志愿者在反扫视任务中所有反应(包括校正)的测量结果,并表明可以通过相同的模型并增加一个额外的假设来预测校正的时间,即不正确的正扫视的启动也会重置并启动一个校正性的反扫视。无需额外的参数即可预测这种复杂行为,这为我们的提议增加了可信度,即我们通过重新启动神经决策竞赛来纠正错误。重新启动决策竞赛的概念具有潜在的吸引力,因为它意味着一个决策的神经处理可以影响下一个决策,并且可能是理解连续决策背后复杂行为的一种有成效的方法。