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视觉工作记忆中的可分离在线整合过程。

Dissociable online integration processes in visual working memory.

机构信息

Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, 02139 MA, United States.

Psychology Department, Harvard University, Cambridge, 02138 MA, United States.

出版信息

Cereb Cortex. 2023 Nov 27;33(23):11420-11430. doi: 10.1093/cercor/bhad378.

Abstract

Visual working memory has severe capacity limits, creating a bottleneck for active processing. A key way of mitigating this limitation is by chunking, i.e. compressing several pieces of information into one visual working memory representation. However, despite decades of research, chunking efficiency remains debated because of mixed evidence. We propose that there are actually 2 integration mechanisms: Grouping combines several objects to one representation, and object-unification merges the parts of a single object. Critically, we argue that the fundamental distinction between the 2 processes is their differential use of the pointer system, the indexing process connecting visual working memory representations with perception. In grouping, the objects that are represented together still maintain independent pointers, making integration costly but highly flexible. Conversely, object-unification fuses the pointers as well as the representations, with the single pointer producing highly efficient integration but blocking direct access to individual parts. We manipulated integration cues via task-irrelevant movement, and monitored visual working memory's online electrophysiological marker. Uniquely colored objects were flexibly grouped and ungrouped via independent pointers (experiment 1). If objects turned uniformly black, object-integration could not be undone (experiment 2), requiring visual working memory to reset before re-individuation. This demonstrates 2 integration levels (representational-merging versus pointer-compression) and establishes the dissociation between visual working memory representations and their underlying pointers.

摘要

视觉工作记忆的容量有限,这对主动处理形成了瓶颈。减轻这种限制的一个关键方法是通过分组,即将多条信息压缩到一个视觉工作记忆表示中。然而,尽管已经进行了几十年的研究,但由于证据混杂,分组效率仍然存在争议。我们提出,实际上存在两种整合机制:分组将几个对象组合成一个表示,而对象统一将单个对象的部分合并。关键是,我们认为这两个过程的基本区别在于它们对指针系统的不同使用,指针系统是将视觉工作记忆表示与感知连接起来的索引过程。在分组中,一起表示的对象仍然保持独立的指针,因此集成成本高但非常灵活。相反,对象统一融合了指针和表示,单个指针产生高效的集成,但阻止了对各个部分的直接访问。我们通过无关任务的运动来操纵整合线索,并监测视觉工作记忆的在线电生理标记。通过独立的指针,可以灵活地分组和取消分组具有独特颜色的对象(实验 1)。如果对象变成全黑,就无法取消对象集成(实验 2),这需要在重新个体化之前重置视觉工作记忆。这证明了两种整合水平(表示融合与指针压缩),并确定了视觉工作记忆表示与其底层指针之间的分离。

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