Event-based encoding of biological motion and location in visual working memory

生物运动 编码(内存) 事件(粒子物理) 维数(图论) 运动(物理) 工作记忆 计算机科学 分散注意力 心理学 沟通 认知心理学 人工智能 神经科学 认知 数学 物理 量子力学 纯数学
作者
Quan Gu,Xueyi Wan,Hong Ma,Xiqian Lu,Yang Guo,Mowei Shen,Zaifeng Gao
出处
期刊:Quarterly Journal of Experimental Psychology [SAGE Publishing]
卷期号:73 (8): 1261-1277 被引量:3
标识
DOI:10.1177/1747021820903042
摘要

We make use of discrete yet meaningful events to orient ourselves to the dynamic environment. Among these events, biological motion, referring to the movements of animate entities, is one of the most biologically salient. We usually encounter biological motions of multiple human beings taking place simultaneously at distinct locations. How we encode biological motions into visual working memory (VWM) to form a coherent experience of the external world and guide our social behaviour remains unclear. This study for the first time addressed the VWM encoding mechanism of biological motions and their corresponding locations. We tested an event-based encoding hypothesis for biological motion and location: When one element of an event is required to be memorised, the irrelevant element of an event will also be extracted into VWM. We presented participants with three biological motions at different locations and required them to memorise only the biological motions or their locations while ignoring the other dimension. We examined the event-based encoding by probing a distracting effect: If the event-based encoding took place, the change of irrelevant dimension in the probe would lead to a significant distraction and impair the performance of detecting target dimension. We found significant distracting effects, which lasted for 3 s but vanished at 6 s, regardless of the target dimension (biological motions vs. locations, Experiment 1) and the exposure time of memory array (1 s vs. 3 s, Experiment 2). These results together support an event-based encoding mechanism during VWM encoding of biological motions and their corresponding locations.

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
擦边大王动动腰完成签到,获得积分10
刚刚
刚刚
zhangpeipei完成签到,获得积分10
1秒前
默默书竹完成签到,获得积分10
1秒前
1秒前
科研菜鸟完成签到,获得积分10
1秒前
1秒前
sy完成签到,获得积分10
2秒前
赵睿发布了新的文献求助10
2秒前
vixerunt发布了新的文献求助10
2秒前
完美世界应助不爱学习采纳,获得10
2秒前
科研通AI6.1应助LIANGLE采纳,获得10
2秒前
暗香发布了新的文献求助10
2秒前
随风完成签到,获得积分20
2秒前
2秒前
安静天川发布了新的文献求助10
3秒前
liuzhanyu发布了新的文献求助10
3秒前
3秒前
Aimee发布了新的文献求助10
4秒前
王一一完成签到,获得积分10
4秒前
查理完成签到,获得积分10
4秒前
小刘发布了新的文献求助10
5秒前
月青悠发布了新的文献求助10
5秒前
5秒前
宋呵呵完成签到,获得积分10
6秒前
可爱书本发布了新的文献求助10
6秒前
grape发布了新的文献求助10
6秒前
sylvia发布了新的文献求助10
6秒前
6秒前
flyingbird完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
木知完成签到,获得积分10
8秒前
liuhang完成签到,获得积分10
8秒前
Honolulu发布了新的文献求助10
8秒前
8秒前
paopao完成签到 ,获得积分10
8秒前
SchoLar完成签到 ,获得积分10
8秒前
赘婿应助heli采纳,获得10
9秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6295619
求助须知:如何正确求助?哪些是违规求助? 8113246
关于积分的说明 16980647
捐赠科研通 5357907
什么是DOI,文献DOI怎么找? 2846598
邀请新用户注册赠送积分活动 1823815
关于科研通互助平台的介绍 1678991