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熟悉的物体从跨眼跳特征预测中获益更多。

Familiar objects benefit more from transsaccadic feature predictions.

机构信息

AG Allgemeine und Biologische Psychologie, Philipps-Universität Marburg, Marburg, Germany.

Center for Mind, Brain and Behavior, Philipps-Universität Marburg, Marburg, Germany.

出版信息

Atten Percept Psychophys. 2023 Aug;85(6):1949-1961. doi: 10.3758/s13414-022-02651-8. Epub 2023 Jan 31.

Abstract

The transsaccadic feature prediction mechanism associates peripheral and foveal information belonging to the same object to make predictions about how an object seen in the periphery would appear in the fovea or vice versa. It is unclear if such transsaccadic predictions require experience with the object such that only familiar objects benefit from this mechanism by virtue of having peripheral-foveal associations. In two experiments, we tested whether familiar objects have an advantage over novel objects in peripheral-foveal matching and transsaccadic change detection tasks. In both experiments, observers were unknowingly familiarized with a small set of stimuli by completing a sham orientation change detection task. In the first experiment, observers subsequently performed a peripheral-foveal matching task, where they needed to pick the foveal test object that matched a briefly presented peripheral target. In the second experiment, observers subsequently performed a transsaccadic object change detection task where a peripheral target was exchanged or not exchanged with another target after the saccade, either immediately or after a 300-ms blank period. We found an advantage of familiar objects over novel objects in both experiments. While foveal-peripheral associations explained the familiarity effect in the matching task of the first experiment, the second experiment provided evidence for the advantage of peripheral-foveal associations in transsaccadic object change detection. Introducing a postsaccadic blank improved change detection performance in general but more for familiar than for novel objects. We conclude that familiar objects benefit from additional object-specific predictions.

摘要

跨眼跳特征预测机制将属于同一物体的外围和中央信息联系起来,以便对外围看到的物体在中央会如何出现或反之进行预测。目前尚不清楚这种跨眼跳预测是否需要对物体的经验,以至于只有熟悉的物体通过具有外围-中央关联而受益于这种机制。在两项实验中,我们测试了熟悉的物体是否比新物体在外围-中央匹配和跨眼跳变化检测任务中具有优势。在这两项实验中,观察者通过完成虚假的方向变化检测任务不知不觉地熟悉了一小部分刺激。在第一个实验中,观察者随后执行了外围-中央匹配任务,他们需要从短暂呈现的外围目标中挑选出与中央测试物体匹配的物体。在第二个实验中,观察者随后执行了跨眼跳物体变化检测任务,在这个任务中,在眼跳后,一个外围目标会立即或在 300 毫秒的空白期后被另一个目标替换或不被替换。我们在两个实验中都发现了熟悉物体相对于新物体的优势。虽然在第一个实验的匹配任务中,中央-外围关联解释了熟悉效应,但第二个实验提供了证据,表明在跨眼跳物体变化检测中,外围-中央关联具有优势。引入眼跳后的空白期总体上提高了变化检测性能,但对熟悉的物体比对新的物体更有帮助。我们的结论是,熟悉的物体受益于额外的特定于物体的预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac42/10545618/5826e07a1e11/13414_2022_2651_Fig1_HTML.jpg

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