An adaptive perspective on visual working memory distortions.

透视图(图形) 吸引力 认知心理学 心理学 工作记忆 自适应存储器 内隐记忆 短时记忆 编码(内存) 心理信息 认知 计算机科学 社会心理学 人工智能 神经科学 哲学 语言学 法学 梅德林 政治学
作者
Chaipat Chunharas,Rosanne L. Rademaker,Timothy F. Brady,John T. Serences
出处
期刊:Journal of Experimental Psychology: General [American Psychological Association]
卷期号:151 (10): 2300-2323 被引量:73
标识
DOI:10.1037/xge0001191
摘要

When holding multiple items in visual working memory, representations of individual items are often attracted to, or repelled from, each other. While this is empirically well-established, existing frameworks do not account for both types of distortions, which appear to be in opposition. Here, we demonstrate that both types of memory distortion may confer functional benefits under different circumstances. When there are many items to remember and subjects are near their capacity to accurately remember each item individually, memories for each item become more similar (attraction). However, when remembering smaller sets of highly similar but discernible items, memory for each item becomes more distinct (repulsion), possibly to support better discrimination. Importantly, this repulsion grows stronger with longer delays, suggesting that it dynamically evolves in memory and is not just a differentiation process that occurs during encoding. Furthermore, both attraction and repulsion occur even in tasks designed to mitigate response bias concerns, suggesting they are genuine changes in memory representations. Together, these results are in line with the theory that attraction biases act to stabilize memory signals by capitalizing on information about an entire group of items, whereas repulsion biases reflect a tradeoff between maintaining accurate but distinct representations. Both biases suggest that human memory systems may sacrifice veridical representations in favor of representations that better support specific behavioral goals. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ding完成签到,获得积分10
刚刚
地黄饮子完成签到,获得积分10
刚刚
1秒前
搞怪的文龙完成签到,获得积分10
1秒前
ahuyv发布了新的文献求助10
1秒前
畔畔发布了新的文献求助30
1秒前
充电宝应助木子予安采纳,获得10
1秒前
Jie完成签到,获得积分10
1秒前
如意2023完成签到 ,获得积分10
1秒前
1秒前
2秒前
斯文败类应助欣喜的香彤采纳,获得10
2秒前
Wanquan完成签到,获得积分10
2秒前
2秒前
gyh完成签到,获得积分10
2秒前
3秒前
Enigma_GEB应助闪闪婴采纳,获得10
3秒前
科研通AI6.2应助圆子采纳,获得10
3秒前
香菜丸子发布了新的文献求助10
3秒前
4秒前
Jasper应助loogn7采纳,获得10
4秒前
4秒前
4秒前
背后的元珊完成签到,获得积分10
4秒前
南球完成签到,获得积分20
5秒前
安安发布了新的文献求助10
5秒前
大模型应助糖卜里卜采纳,获得10
5秒前
浅夏安然发布了新的文献求助10
6秒前
科研小菜鸟完成签到,获得积分10
6秒前
yu发布了新的文献求助10
6秒前
宁大王发布了新的文献求助10
6秒前
烟花应助喜悦的采纳,获得10
6秒前
默默的草丛完成签到 ,获得积分10
6秒前
火星上冰双完成签到 ,获得积分20
6秒前
得鹿梦鱼发布了新的文献求助10
7秒前
完美世界应助cc采纳,获得10
7秒前
丘比特应助fengdengjin采纳,获得10
8秒前
朴素的若雁完成签到,获得积分10
8秒前
曾春完成签到,获得积分20
8秒前
科科科科完成签到,获得积分10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7766799
求助须知:如何正确求助?哪些是违规求助? 9310665
关于积分的说明 20318532
捐赠科研通 7351898
什么是DOI,文献DOI怎么找? 3315196
关于科研通互助平台的介绍 2464635
邀请新用户注册赠送积分活动 2329829