Working with Episodic Memory: The N-back Task

A. Beukers, K. Norman, J. Cohen
{"title":"Working with Episodic Memory: The N-back Task","authors":"A. Beukers, K. Norman, J. Cohen","doi":"10.32470/ccn.2019.1311-0","DOIUrl":null,"url":null,"abstract":"We present a model of how working memory (WM) and episodic memory (EM) interact in the n-back task. Contrary to previous models in which information is actively maintained in WM, our model posits that information about previous stimuli is retained exclusively in EM. Unlike WM-based active maintenance, which has limited maintenance capacity, EM-based storage has unlimited storage capacity but is subject to proactive interference. Using the model we show that benchmark phenomena ordinarily attributed to use of a limited-capacity WM system (the set size effect and the lure interference effect) can also arise in a model with no such maintenance constraints.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Conference on Cognitive Computational Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32470/ccn.2019.1311-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

We present a model of how working memory (WM) and episodic memory (EM) interact in the n-back task. Contrary to previous models in which information is actively maintained in WM, our model posits that information about previous stimuli is retained exclusively in EM. Unlike WM-based active maintenance, which has limited maintenance capacity, EM-based storage has unlimited storage capacity but is subject to proactive interference. Using the model we show that benchmark phenomena ordinarily attributed to use of a limited-capacity WM system (the set size effect and the lure interference effect) can also arise in a model with no such maintenance constraints.
情景记忆:N-back任务
我们提出了一个工作记忆(WM)和情景记忆(EM)在n-back任务中如何相互作用的模型。与之前在WM中主动维护信息的模型相反,我们的模型假设有关先前刺激的信息仅保留在EM中。与基于WM的主动维护有限的维护能力不同,基于EM的存储具有无限的存储容量,但会受到主动干扰。使用该模型,我们表明通常归因于使用有限容量WM系统的基准现象(集大小效应和诱饵干扰效应)也可以在没有此类维护约束的模型中出现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信