Fast mapping rapidly integrates information into existing memory networks.

心理学 单词学习 认知心理学 记忆巩固 记忆测验 认知 自然语言处理 计算机科学 语言学 词汇 神经科学 海马体 哲学
作者
Marc N. Coutanche,Sharon L. Thompson‐Schill
出处
期刊:Journal of Experimental Psychology: General [American Psychological Association]
卷期号:143 (6): 2296-2303 被引量:151
标识
DOI:10.1037/xge0000020
摘要

Successful learning involves integrating new material into existing memory networks. A learning procedure known as fast mapping (FM), thought to simulate the word-learning environment of children, has recently been linked to distinct neuroanatomical substrates in adults. This idea has suggested the (never-before tested) hypothesis that FM may promote rapid incorporation into cortical memory networks. We test this hypothesis here in two experiments. In our first experiment, we introduced fifty participants to sixteen unfamiliar animals and names through FM or explicit encoding (EE), and tested subjects on the training day, and again after sleep. Learning through EE produced strong declarative memories, without immediate lexical competition, as expected from slow-consolidation models. Learning through FM, however, led to almost immediate lexical competition, which continued to the next day. Additionally, the learned words began to prime related concepts on the day following FM (but not EE) training. In a second experiment, we replicated the lexical integration results, and determined that presenting an already-known item during learning was crucial for rapid integration through FM. The findings presented here indicate that learned items can be integrated into cortical memory networks at an accelerated rate through fast mapping. The retrieval of a known related concept, in order to infer the target of the FM question, is critical for this effect.
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
刚刚
刚刚
dailixin完成签到 ,获得积分10
1秒前
jqx发布了新的文献求助30
1秒前
万能图书馆的应助被柚子采纳,获得10
1秒前
1秒前
renguagua发布了新的文献求助30
2秒前
3秒前
王思聪发布了新的文献求助10
3秒前
复杂尔曼发布了新的文献求助10
4秒前
4秒前
6秒前
朋朋完成签到,获得积分10
6秒前
7秒前
hjh发布了新的文献求助10
8秒前
Elaine发布了新的文献求助10
8秒前
小雨的应助被yellow采纳,获得10
9秒前
9秒前
蜜獾发布了新的文献求助10
10秒前
12秒前
sadd发布了新的文献求助10
14秒前
HQQ完成签到,获得积分20
15秒前
18秒前
20秒前
小玲子发布了新的文献求助10
22秒前
隐形曼青的应助被郭海滨采纳,获得10
23秒前
23秒前
12348765发布了新的文献求助10
25秒前
25秒前
xuaotian发布了新的文献求助10
27秒前
科研通AI6.4的应助被bhlyt采纳,获得20
27秒前
Brave发布了新的文献求助10
29秒前
30秒前
31秒前
Akim的应助被李子采纳,获得10
32秒前
游向海天完成签到,获得积分10
32秒前
彭于晏的应助被专注的尔风采纳,获得10
33秒前
33秒前
烟花的应助被TZTD采纳,获得10
34秒前
35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
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
Geschichtliche Grundbegriffe (GGB), Band 5: Pro–Soz 300
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 7787594
求助须知:如何正确求助?哪些是违规求助? 9326026
关于积分的说明 20408437
捐赠科研通 7376501
什么是DOI,文献DOI怎么找? 3322285
关于科研通互助平台的介绍 2469974
邀请新用户注册赠送积分活动 2338812