Vullings Cécile, Harwood Mark R, Madelain Laurent
Université de Lille, CNRS, CHU Lille, UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, Lille, France.
Department of Biology, City College of New York, City University of New York, NY, USA.
J Vis. 2019 Apr 1;19(4):16. doi: 10.1167/19.4.16.
Saccadic latencies are known to change as a function of target eccentricity and size. Recently, it has been shown that latencies consistently change according to the amplitude of the step in proportion to the size of the target (Madelain, Krauzlis, & Wallman, 2005; Harwood, Madelain, Krauzlis, & Wallman, 2008; De Vries, Azadi, & Harwood, 2016). This effect, called the size-latency phenomenon, might be seen as a function of a cost-benefit relationship: Longer latencies might be explained by the lower benefit of making a saccade while the target mostly remains within the attentional field. Here, we probe this hypothesis by manipulating the cost-benefit relationship using a reinforcement procedure. Participants tracked a target stepping horizontally with varying amplitudes and sizes such that the step-to-size ratio was equal to either 0.3 or 1.5. We used a dynamic-reinforcement criterion in the blocked conditions. In the 0.3-ratio condition, any latency shorter than the criterion was reinforced. In the 1.5-ratio condition, any latency longer than the criterion was reinforced. During baseline, we observed the size-latency effect with large differences in latencies depending on the ratio in force (229 and 161 ms, respectively, for 0.3 and 1.5). After learning, distributions shifted toward the shorter or longer value (198 and 236 ms, respectively, for 0.3 and 1.5). On average, latencies decreased by 31 ms and increased by 75 ms according to the ongoing reinforcement contingencies. Our results indicate that reinforcement contingencies can considerably affect saccadic-latency distributions, and support the idea of a cost-benefit evaluation of saccade triggering.
已知扫视潜伏期会随着目标离心率和大小而变化。最近的研究表明,潜伏期会根据步幅的大小与目标大小成比例地持续变化(马德莱、克劳兹利斯和沃尔曼,2005年;哈伍德、马德莱、克劳兹利斯和沃尔曼,2008年;德弗里斯、阿扎迪和哈伍德,2016年)。这种效应被称为大小潜伏期现象,可能被视为一种成本效益关系的函数:较长的潜伏期可能是由于在目标大多仍处于注意力视野范围内时进行扫视的益处较低所致。在此,我们通过使用强化程序来操纵成本效益关系,以探究这一假设。参与者跟踪一个水平移动的目标,其步幅和大小各不相同,使得步幅与大小的比率等于0.3或1.5。在分块条件下,我们使用了动态强化标准。在0.3比率条件下,任何短于标准的潜伏期都会得到强化。在1.5比率条件下,任何长于标准的潜伏期都会得到强化。在基线期,我们观察到了大小潜伏期效应,潜伏期因生效比率的不同而有很大差异(0.3和1.5时分别为229毫秒和161毫秒)。学习后,分布向较短或较长的值转移(0.3和1.5时分别为198毫秒和236毫秒)。根据持续的强化意外情况,平均而言,潜伏期分别减少了31毫秒和增加了75毫秒。我们的结果表明,强化意外情况会极大地影响扫视潜伏期分布,并支持扫视触发的成本效益评估这一观点。