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首页> 外文期刊>The European Journal of Neuroscience >Re-starting a neural race: Anti-saccade correction
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Re-starting a neural race: Anti-saccade correction

机译：重新开始神经竞赛：防扫视矫正

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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.
机译：在反扫视任务中，受试者必须在与突然出现的视觉目标相反的方向上进行扫视运动。这在向目标进行亲扫视的自然趋势与所需的反扫视之间建立了冲突。因此，存在产生错误的趋势，通常通过在正确的反扫视方向上的第二次运动来纠正该错误。在先前的论文中，我们显示了一个非常简单的模型，可以将LATER（遍历率阈值的线性方法）单元用于正向和反方向，以及一个阻止即将发生的错误响应的停止单元，可以精确地说明正确和错误响应的反应时间的详细分布。但是，尚未研究这些最终校正的发生和时间。我们提出了一种新颖的机制：错误发生后，决策竞赛会重新开始。在这里，我们描述了一组人类志愿者在反扫视任务中所有响应（包括更正）的测量结果，并显示了更正的时机本身可以由相同的模型通过一个额外的假设进行预测，即不正确的前扫视也会重置并启动纠正性的后扫视。不需要额外的参数即可预测行为的这一复杂方面，从而增加了我们通过重新启动神经决策竞赛来纠正错误的建议。重新启动决策竞赛的概念可能令人兴奋，因为它暗示着对一个决策的神经处理会影响下一个决策，并且可能是理解顺序决策背后的复杂行为的有效方式。

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