工作记忆
计算机科学
关系(数据库)
资源(消歧)
资源配置
极限(数学)
资源分配
简单(哲学)
认知心理学
预测能力
功率(物理)
短时记忆
有限的资源
人工智能
心理学
认知
数据挖掘
数学
神经科学
统计
计算机网络
数学分析
哲学
物理
认识论
量子力学
作者
Paul M. Bays,Masud Husain
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2008-08-07
卷期号:321 (5890): 851-854
被引量:1147
标识
DOI:10.1126/science.1158023
摘要
Our ability to remember what we have seen is very limited. Most current views characterize this limit as a fixed number of items—only four objects—that can be held in visual working memory. We show that visual memory capacity is not fixed by the number of objects, but rather is a limited resource that is shared out dynamically between all items in the visual scene. This resource can be shifted flexibly between objects, with allocation biased by selective attention and toward targets of upcoming eye movements. The proportion of resources allocated to each item determines the precision with which it is remembered, a relation that we show is governed by a simple power law, allowing quantitative estimates of resource distribution in a scene.
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