亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

The binding structure of event elements in episodic memory and the role of animacy

万物有灵性 事件(粒子物理) 代表(政治) 计算机科学 事件结构 心理学 认知心理学 数学 统计 物理 量子力学 政治 政治学 法学
作者
Marcel Raphael Schreiner,Thorsten Meiser,Arndt Bröder
出处
期刊:Quarterly Journal of Experimental Psychology [SAGE]
卷期号:76 (4): 705-730 被引量:3
标识
DOI:10.1177/17470218221096148
摘要

Experienced events consist of several elements which need to be bound together in memory to represent the event in a coherent manner. Given such bindings, the retrieval of one event element should be related to the successful retrieval of another element of the same event, thus leading to a stochastic dependency of the retrieval of event elements. The way in which bindings are structured is not yet clearly established and only few moderators of the binding of event elements have been identified. We present results from three experiments aiming to distinguish between an integrated binding structure, in which event elements are bound into a unitary representation, and a hierarchical binding structure, in which event elements are preferentially bound to specific types of elements. Experiments 2 and 3 were additionally designed to identify animacy, an entity's property of being alive, as a potential moderator of the binding of event elements. We also offer a new approach for modelling dependencies of the retrieval of event elements which mitigates some limitations of previous approaches. Consistent with previous literature, we found dependencies of the retrieval of event elements if all of an event's constituent associations were shown. We found mixed evidence for integrated or hierarchical binding structures but found dependency of the retrieval of event elements to be sensitive to the presence of animacy in an event. The results suggest that binding structures may vary depending on moderators such as animacy or event structure awareness. Theoretical implications and directions for future research are discussed.

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
3秒前
5秒前
iwan发布了新的文献求助10
8秒前
善良的数据线完成签到,获得积分10
10秒前
研友_yLpQrn完成签到,获得积分10
19秒前
bkagyin应助知知采纳,获得10
23秒前
Richard完成签到,获得积分10
29秒前
31秒前
毒蝎King完成签到,获得积分10
48秒前
50秒前
脑洞疼应助科研通管家采纳,获得10
54秒前
斯文败类应助科研通管家采纳,获得10
54秒前
54秒前
科研通AI2S应助科研通管家采纳,获得10
54秒前
Shrine发布了新的文献求助10
1分钟前
柚又完成签到 ,获得积分10
1分钟前
凤迎雪飘完成签到,获得积分10
1分钟前
blueskyzhi完成签到,获得积分10
1分钟前
ding应助神火采纳,获得10
1分钟前
1分钟前
迪迦7777完成签到,获得积分10
1分钟前
知知发布了新的文献求助10
1分钟前
2分钟前
kobeho24发布了新的文献求助10
2分钟前
科研通AI6.2应助英勇初曼采纳,获得10
2分钟前
2分钟前
非泥完成签到,获得积分10
2分钟前
复杂白风完成签到 ,获得积分10
2分钟前
2分钟前
YangLiu完成签到,获得积分10
2分钟前
李健应助科研通管家采纳,获得20
2分钟前
2分钟前
Akim应助科研通管家采纳,获得10
2分钟前
null应助科研通管家采纳,获得30
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
null应助科研通管家采纳,获得30
2分钟前
2分钟前
caca完成签到,获得积分0
2分钟前
3分钟前
3分钟前
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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5942556
求助须知:如何正确求助?哪些是违规求助? 7073053
关于积分的说明 15888813
捐赠科研通 5073238
什么是DOI,文献DOI怎么找? 2728902
邀请新用户注册赠送积分活动 1687742
关于科研通互助平台的介绍 1613547