Ortu Daniele, Vaidya Manish
Neurobehavioral EEG Laboratory, Department of Behavior Analysis, University of North Texas, United States.
Neurobehavioral EEG Laboratory, Department of Behavior Analysis, University of North Texas, United States.
Behav Processes. 2020 Mar;172:104023. doi: 10.1016/j.beproc.2019.104023. Epub 2019 Dec 27.
In the current study we assessed the possibility of developing intraexperimentally behavioral priming and Event Related Potentials (ERP) effects that are often studied with stimuli to which participants typically have a very extensive pre-experimental history, like words. To do so we used abstract geometrical figures in a baseline Lexical Decision Task (LDT), followed by a conditional discrimination-training phase. We then repeated the LDT task to assess the effectiveness of training compared to baseline. We found that participants' reaction time data in the post training LDT session changed, compared to the pre-training LDT session, according to the specific conditional discriminations taught in the training session. Similarly, neural results suggest the presence of an effect due to training that is absent in the baseline neural measures. Moreover, similar effects were also obtained using words. Results point to the possibility that conditional discrimination learning may be sufficient to establish effects that are often considered to be language specific.
在当前研究中，我们评估了在实验内产生行为启动和事件相关电位（ERP）效应的可能性，这些效应通常是通过参与者通常有非常广泛的实验前经历的刺激（如单词）来研究的。为此，我们在基线词汇判定任务（LDT）中使用抽象几何图形，随后是一个条件辨别训练阶段。然后我们重复LDT任务以评估与基线相比训练的有效性。我们发现，与训练前的LDT会话相比，训练后LDT会话中参与者的反应时间数据根据训练会话中教授的特定条件辨别而发生了变化。同样，神经学结果表明存在训练产生的效应，而基线神经测量中不存在这种效应。此外，使用单词也获得了类似的效果。结果表明，条件辨别学习可能足以产生通常被认为是特定于语言的效应。
