Institute of Medical Psychology, Goethe-University, Heinrich-Hoffmann-Strasse 10, 60528, Frankfurt am Main, Germany.
Zuckerman Mind Brain Behavior Institute, Columbia University, 3227 Broadway, New York, NY, 10027, USA.
Nat Commun. 2020 Apr 22;11(1):1932. doi: 10.1038/s41467-020-15874-w.
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.
序列依赖被认为可以通过补偿记忆片段中物体外观的小变化来促进感知稳定性。到目前为止,它已经在只包含单个物体的情况下进行了研究。我们如何有选择地为几个物体创造时间稳定性的问题仍然没有解决。在记忆任务中,物体可以通过要记住的特征(内容)以及伴随的鉴别特征(上下文)来区分。我们测试了在除了内容相似性之外,一致的上下文特征是否支持序列依赖。在四个实验中,我们观察到在试验之间共享相同上下文特征的物体之间存在更强的序列依赖。显然,内容和上下文特征的绑定不会被抹去,而是会延续到随后的记忆片段中。由于这反映了自然环境中的时间依赖性,我们的发现揭示了一种机制,该机制将相应的内容和上下文特征整合在一起,以支持随着时间的推移对个体化物体的稳定表示。