Department of Psychology and Neuroscience, University of Colorado Boulder, 345 UCB, Boulder, CO 80309-0345, USA.
Psychol Rev. 2013 Jul;120(3):628-66. doi: 10.1037/a0033180.
Binary choice tasks, such as 2-alternative forced choice, show a complex yet consistent pattern of sequential effects, whereby responses and response times depend on the detailed pattern of prior stimuli going back at least 5 trials. We show this pattern is well explained by simultaneous incremental learning of 2 simple statistics of the trial sequence: the base rate and the repetition rate. Both statistics are learned by the same basic associative mechanism, but they contribute different patterns of sequential effects because they entail different representations of the trial sequence. Subtler aspects of the data that are not explained by these 2 learning processes alone are explained by their interaction, via learning from joint error correction. Specifically, the cue-competition mechanism that has explained classic findings in animal learning (e.g., blocking) appears to operate on learning of sequence statistics. We also find that learning of the base rate and repetition rate are dissociated into response and stimulus processing, respectively, as indicated by event-related potentials, manipulations of stimulus discriminability, and reanalysis of past experiments that eliminated stimuli or prior responses. Thus, sequential effects in these tasks appear to be driven by learning the response base rate and the stimulus repetition rate. Connections are discussed between these findings and previous research attempting to separate stimulus- and response-based sequential effects, and research using sequential effects to determine mental representations. We conclude that sequential effects offer a powerful means for uncovering representations and learning mechanisms.
二择一任务,如 2 择 1 强迫选择,表现出一种复杂但一致的序列效应模式,其中反应和反应时间取决于至少 5 次试验前刺激的详细模式。我们表明,这种模式可以通过同时学习试验序列的 2 个简单统计量很好地解释:基率和重复率。这两个统计量都是通过相同的基本联想机制学习的,但它们会产生不同的序列效应模式,因为它们涉及到试验序列的不同表示。这些学习过程无法单独解释的更细微的数据方面,可以通过联合错误校正的学习来解释它们的相互作用。具体来说,已经解释了动物学习中经典发现的线索竞争机制(例如,阻断)似乎在序列统计学习中起作用。我们还发现,基率和重复率的学习分别分解为反应和刺激处理,这可以通过事件相关电位、刺激可辨别性的操作以及消除刺激或先前反应的过去实验的重新分析来证明。因此,这些任务中的序列效应似乎是由学习反应基率和刺激重复率驱动的。这些发现与试图分离基于刺激和基于反应的序列效应的先前研究以及使用序列效应来确定心理表现的研究之间存在联系。我们得出结论,序列效应提供了一种揭示表现和学习机制的有力手段。