School of Psychological and Cognitive Sciences, and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.
J Vis. 2024 May 1;24(5):2. doi: 10.1167/jov.24.5.2.
Historically, in many perceptual learning experiments, only a single stimulus is practiced, and learning is often specific to the trained feature. Our prior work has demonstrated that multi-stimulus learning (e.g., training-plus-exposure procedure) has the potential to achieve generalization. Here, we investigated two important characteristics of multi-stimulus learning, namely, roving and feature variability, and their impacts on multi-stimulus learning and generalization. We adopted a feature detection task in which an oddly oriented target bar differed by 16° from the background bars. The stimulus onset asynchrony threshold between the target and the mask was measured with a staircase procedure. Observers were trained with four target orientation search stimuli, either with a 5° deviation (30°-35°-40°-45°) or with a 45° deviation (30°-75°-120°-165°), and the four reference stimuli were presented in a roving manner. The transfer of learning to the swapped target-background orientations was evaluated after training. We found that multi-stimulus training with a 5° deviation resulted in significant learning improvement, but learning failed to transfer to the swapped target-background orientations. In contrast, training with a 45° deviation slowed learning but produced a significant generalization to swapped orientations. Furthermore, a modified training-plus-exposure procedure, in which observers were trained with four orientation search stimuli with a 5° deviation and simultaneously passively exposed to orientations with high feature variability (45° deviation), led to significant orientation learning generalization. Learning transfer also occurred when the four orientation search stimuli with a 5° deviation were presented in separate blocks. These results help us to specify the condition under which multistimuli learning produces generalization, which holds potential for real-world applications of perceptual learning, such as vision rehabilitation and expert training.
从历史上看,在许多感知学习实验中,只使用单个刺激进行训练,并且学习通常是针对所训练特征的。我们之前的工作已经证明,多刺激学习(例如,训练加暴露程序)有可能实现泛化。在这里,我们研究了多刺激学习的两个重要特征,即游动和特征可变性,以及它们对多刺激学习和泛化的影响。我们采用了一种特征检测任务,其中一个奇怪定向的目标条与背景条相差 16°。使用阶梯程序测量目标和掩蔽之间的刺激起始异步阈值。观察者接受四种目标方向搜索刺激的训练,或者以 5°的偏差(30°-35°-40°-45°),或者以 45°的偏差(30°-75°-120°-165°),并且以游动的方式呈现四个参考刺激。在训练后评估学习对交换目标-背景方向的转移情况。我们发现,5°偏差的多刺激训练导致显著的学习改善,但学习无法转移到交换的目标-背景方向。相比之下,45°偏差的训练会减缓学习速度,但会产生对交换方向的显著泛化。此外,一种改进的训练加暴露程序,其中观察者接受四种方向搜索刺激,以 5°的偏差进行训练,同时被动地暴露于具有高特征可变性的方向(45°的偏差),导致显著的方向学习泛化。当以 5°的偏差呈现四个方向搜索刺激时,也会发生学习转移。这些结果帮助我们确定了多刺激学习产生泛化的条件,这对感知学习的实际应用具有潜在价值,例如视力康复和专家培训。