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代表性结构作为注意力的统一框架。

Representational structures as a unifying framework for attention.

机构信息

Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA.

Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.

出版信息

Trends Cogn Sci. 2024 May;28(5):416-427. doi: 10.1016/j.tics.2024.01.002. Epub 2024 Jan 27.

DOI:10.1016/j.tics.2024.01.002
PMID:38280837
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11290436/
Abstract

Our visual system consciously processes only a subset of the incoming information. Selective attention allows us to prioritize relevant inputs, and can be allocated to features, locations, and objects. Recent advances in feature-based attention suggest that several selection principles are shared across these domains and that many differences between the effects of attention on perceptual processing can be explained by differences in the underlying representational structures. Moving forward, it can thus be useful to assess how attention changes the structure of the representational spaces over which it operates, which include the spatial organization, feature maps, and object-based coding in visual cortex. This will ultimately add to our understanding of how attention changes the flow of visual information processing more broadly.

摘要

我们的视觉系统有意识地处理传入信息的一个子集。选择性注意使我们能够优先处理相关的输入,并可分配给特征、位置和对象。基于特征的注意力的最新进展表明,这些领域共享几个选择原则,并且注意力对感知处理的影响之间的许多差异可以通过基础表示结构的差异来解释。因此,评估注意力如何改变其操作的表示空间的结构将是有用的,这些空间包括视觉皮层中的空间组织、特征图和基于对象的编码。这最终将有助于我们了解注意力如何更广泛地改变视觉信息处理的流程。

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本文引用的文献

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