Remembering Sets: Capacity Limit and Time Limit of Ensemble Representations in Working Memory

Author:

Xu Chaoer1,Qian Yingzhu1,Chen Hui1,Shen Mowei1,Zhou Jifan1

Affiliation:

1. Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou 310058, China

Abstract

In a constantly changing visual environment, the ability to extract and store ensemble representations plays a crucial role in efficiently processing and remembering complex visual information. However, how working memory maintains these ensemble representations remains unclear. Therefore, the present study aimed to investigate the limits and characteristics of ensemble representations in working memory using a change detection paradigm. Participants were presented with multiple sets of circles grouped by spatial proximity and were asked to memorize the mean diameter of the circles in each set. Results showed that working memory could stably maintain mean sizes of approximately two sets for at least four seconds. Moreover, the memory performance of ensembles was not affected by the number of circles within a set, suggesting that individual details were not stored in working memory. These results suggest that the visual system can effectively store ensembles in working memory without preserving detailed individual information.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Behavioral Neuroscience,General Psychology,Genetics,Development,Ecology, Evolution, Behavior and Systematics

Reference46 articles.

1. Ensemble Perception;Whitney;Annu. Rev. Psychol.,2018

2. Ensemble coding of color and luminance contrast;Rajendran;Atten. Percept. Psychophys.,2021

3. Seeing Sets: Representation by Statistical Properties;Ariely;Psychol. Sci.,2001

4. Compulsory averaging of crowded orientation signals in human vision;Parkes;Nat. Neurosci.,2001

5. Amplification in the evaluation of multiple emotional expressions over time;Goldenberg;Nat. Hum. Behav.,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3