Pirrone Angelo, Wen Wen, Li Sheng
School of Psychological and Cognitive Sciences, Peking University, Beijing, 100871, China.
Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
BMC Neurosci. 2018 Sep 10;19(1):54. doi: 10.1186/s12868-018-0457-5.
Previous research has reported or predicted, on the basis of theoretical and computational work, magnitude sensitive reaction times. Magnitude sensitivity can arise (1) as a function of single-trial dynamics and/or (2) as recent computational work has suggested, while single-trial dynamics may be magnitude insensitive, magnitude sensitivity could arise as a function of overall reward received which in turn affects the speed at which decision boundaries collapse, allowing faster responses as the overall reward received increases.
Here, we review previous theoretical and empirical results and we present new evidence for magnitude sensitivity arising as a function of single-trial dynamics.
The result of magnitude sensitive reaction times reported is not compatible with single-trial magnitude insensitive models, such as the statistically optimal drift diffusion model.
先前的研究已基于理论和计算工作报告或预测了量级敏感反应时间。量级敏感性可能产生于（1）单次试验动力学的函数关系，和/或（2）正如最近的计算工作所表明的，虽然单次试验动力学可能对量级不敏感，但量级敏感性可能产生于所获得的总体奖励的函数关系，而这反过来又会影响决策边界崩溃的速度，随着所获得的总体奖励增加，允许更快的反应。
在这里，我们回顾先前的理论和实证结果，并给出量级敏感性产生于单次试验动力学函数关系的新证据。
所报告的量级敏感反应时间的结果与单次试验量级不敏感模型不兼容，例如统计最优漂移扩散模型。
