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视觉工作记忆中的表示和计算。

Representation and computation in visual working memory.

机构信息

Department of Psychology, University of Cambridge, Cambridge, UK.

Center for Neural Science and Department of Psychology, New York University, New York, NY, USA.

出版信息

Nat Hum Behav. 2024 Jun;8(6):1016-1034. doi: 10.1038/s41562-024-01871-2. Epub 2024 Jun 7.

Abstract

The ability to sustain internal representations of the sensory environment beyond immediate perception is a fundamental requirement of cognitive processing. In recent years, debates regarding the capacity and fidelity of the working memory (WM) system have advanced our understanding of the nature of these representations. In particular, there is growing recognition that WM representations are not merely imperfect copies of a perceived object or event. New experimental tools have revealed that observers possess richer information about the uncertainty in their memories and take advantage of environmental regularities to use limited memory resources optimally. Meanwhile, computational models of visuospatial WM formulated at different levels of implementation have converged on common principles relating capacity to variability and uncertainty. Here we review recent research on human WM from a computational perspective, including the neural mechanisms that support it.

摘要

能够在即时感知之外持续维持对感官环境的内部表示,是认知处理的基本要求。近年来,关于工作记忆 (WM) 系统的容量和保真度的争论,加深了我们对这些表示的本质的理解。特别是,人们越来越认识到,WM 表示不仅仅是对感知到的对象或事件的不完美复制。新的实验工具表明,观察者对其记忆中的不确定性拥有更丰富的信息,并利用环境规律来最优地使用有限的记忆资源。与此同时,在不同实现层面制定的视空间 WM 计算模型已经达成了与容量和不确定性相关的共同原则。在这里,我们从计算的角度回顾了最近关于人类 WM 的研究,包括支持它的神经机制。

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