Context information supports serial dependence of multiple visual objects across memory episodes

Context information supports serial dependence of multiple visual objects across memory episodes
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DOI:
10.1038/s41467-020-15874-w
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发表时间:
2020-04-22
影响因子:
16.6
通讯作者:
Bledowski, Christoph
Bledowski, Christoph
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Fischer, Cora;Czoschke, Stefan;Bledowski, Christoph

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序列依赖被认为通过补偿对象在记忆片段中的微小变化来促进感知稳定性。到目前为止,它已经被研究的情况下,只包括一个单一的对象。我们如何选择性地创建多个对象的时间稳定性的问题仍然没有解决。在记忆任务中,对象可以通过其要记忆的特征(内容)以及伴随的区别性特征(上下文)来区分。我们测试是否一致的上下文功能,除了内容相似性,支持串行依赖。在四个实验中,我们观察到一个更强的串行之间的依赖性,共享相同的上下文功能的对象在审判。显然,内容和背景特征的结合并没有被抹去,而是被带到了随后的记忆片段中。由于这反映了自然环境中的时间依赖性,我们的研究结果揭示了一种机制,该机制集成了相应的内容和上下文特征,以支持随时间推移对个性化对象的稳定表示。视觉认知补偿了物体外观的微小变化,以确保其感知的连续性。我们表明,在多个对象的情况下,上下文特征,如颜色,时间或空间位置被用作锚点,随着时间的推移有选择地整合相应的对象。
Serial dependence is thought to promote perceptual stability by compensating for small changes of an object's appearance across memory episodes. So far, it has been studied in situations that comprised only a single object. The question of how we selectively create temporal stability of several objects remains unsolved. In a memory task, objects can be differentiated by their to-be-memorized feature (content) as well as accompanying discriminative features (context). We test whether congruent context features, in addition to content similarity, support serial dependence. In four experiments, we observe a stronger serial dependence between objects that share the same context features across trials. Apparently, the binding of content and context features is not erased but rather carried over to the subsequent memory episode. As this reflects temporal dependencies in natural settings, our findings reveal a mechanism that integrates corresponding content and context features to support stable representations of individualized objects over time. Visual cognition compensates for small changes in an object's appearance to ensure its perceived continuity. We show that in situations with multiple objects, context features like color, temporal or spatial position are used as anchors to selectively integrate corresponding objects over time.