Under the condition of unitization at encoding rather than unitization at retrieval, familiarity could support associative recognition and the relationship between unitization and recollection was moderated by unitization-congruence

结合属性 召回 同余(几何) 心理学 编码(内存) 认知心理学 联想学习 内容寻址存储器 计算机科学 人工智能 社会心理学 数学 人工神经网络 纯数学
作者
Zejun Liu,Yujuan Wang,Chunyan Guo
出处
期刊:Learning & Memory [Cold Spring Harbor Laboratory Press]
卷期号:27 (3): 104-113 被引量:9
标识
DOI:10.1101/lm.051094.119
摘要

It is widely accepted that associative recognition can be supported by familiarity through integrating more than two stimuli into a unit, but there are still three unsolved questions: (1) how unitization affects recollection-based associative recognition; (2) whether it is necessary to match the level of unitization (LOU) between original and rearranged pairs, which was term as unitization-congruence (UC); (3) whether unitization can occur at encoding or at retrieval. The purposes of this study are to try to answer these questions. During the encoding phase, the participants were asked to learn compound words and unrelated word pairs, and during the retrieval phase, they needed to distinguish intact pairs from rearranged consistent and rearranged inconsistent pairs with “remember/know” paradigm. The results showed that (1) the role of unitization in recollection was moderated by UC; (2) Under the consistent UC condition, unitization could improve familiarity-based associative recognition without affecting recollection-based associative recognition, while under the inconsistent UC condition, unitization could improve familiarity-based and recollection-based associative recognition simultaneously, these results indicated that it was necessary to match the LOU between original and rearranged pairs; (3) unitization at encoding could support familiarity-based associative recognition, while unitization at retrieval did not. In briefly, unitization at encoding could improve associative recognition and this effect was moderated by UC, while unitization at retrieval did not affect associative recognition.
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
zjj发布了新的文献求助10
1秒前
Qvby3完成签到 ,获得积分10
1秒前
3秒前
zhy完成签到,获得积分10
5秒前
老驴拉磨完成签到,获得积分10
5秒前
FashionBoy应助zjj采纳,获得10
6秒前
体贴的向南完成签到,获得积分20
6秒前
哎呦呦仔发布了新的文献求助10
7秒前
joleisalau发布了新的文献求助20
10秒前
10秒前
13秒前
苦瓜柠檬冰茶完成签到 ,获得积分10
13秒前
丘比特应助叶远望采纳,获得10
13秒前
火炬计划发布了新的文献求助10
14秒前
小付完成签到,获得积分10
17秒前
哎呦呦仔完成签到,获得积分10
17秒前
cdercder应助骤雨时晴采纳,获得10
22秒前
hhh完成签到,获得积分10
24秒前
24秒前
24秒前
ANJING完成签到,获得积分10
25秒前
26秒前
陈饼饼发布了新的文献求助10
30秒前
KKKK完成签到,获得积分10
31秒前
威武安梦完成签到 ,获得积分10
31秒前
32秒前
852应助小金采纳,获得10
33秒前
核桃发布了新的文献求助10
33秒前
图雄争霸完成签到 ,获得积分10
36秒前
yang完成签到,获得积分10
38秒前
ANJING发布了新的文献求助10
41秒前
HBin完成签到,获得积分10
42秒前
43秒前
44秒前
kangkang完成签到,获得积分10
45秒前
cdercder应助ixueyi采纳,获得10
45秒前
李宣完成签到,获得积分10
45秒前
DT发布了新的文献求助10
46秒前
47秒前
48秒前
高分求助中
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
引进保护装置的分析评价八七年国外进口线路等保护运行情况介绍 300
《続天台宗全書・史伝1 天台大師伝注釈類》 300
Visceral obesity is associated with clinical and inflammatory features of asthma: A prospective cohort study 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3839942
求助须知:如何正确求助?哪些是违规求助? 3382151
关于积分的说明 10521656
捐赠科研通 3101616
什么是DOI,文献DOI怎么找? 1708201
邀请新用户注册赠送积分活动 822278
科研通“疑难数据库(出版商)”最低求助积分说明 773223