Role of line junctions in expert object recognition: The case of musical notation

Author:

Cho Felix Tze‐Hei1ORCID,Tan Cheng Yong2,Wong Yetta Kwailing13ORCID

Affiliation:

1. Department of Educational Psychology, Faculty of Education The Chinese University of Hong Kong Shatin Hong Kong

2. Faculty of Education University of Hong Kong Pok Fu Lam Hong Kong

3. School of Psychology, Faculty of Health and Medical Sciences University of Surrey Guildford UK

Abstract

AbstractLine junctions are well‐known to be important for real‐world object recognition, and sensitivity to line junctions is enhanced with perceptual experience with an object category. However, it remains unclear whether these very simple visual features are involved in expert object representations at the neural level, and if yes, at what level(s) they are involved. In this EEG study, 31 music reading experts and 31 novices performed a one‐back task with intact musical notation, musical notation with line junctions removed and pseudo‐letters. We observed more separable neural representations of musical notation from pseudo‐letter for experts than for novices when line junctions were present and during 180–280 ms after stimulus onset. Also, the presence of line junctions was better decoded in experts than in novices during 320–580 ms, and the decoding accuracy in this time window predicted the behavioral recognition advantage of musical notation when line junctions were present. These suggest that, with perceptual expertise, line junctions are more involved in category selective representation of objects, and are more explicitly represented in later stages of processing to support expert recognition performance.

Funder

Research Grants Council, University Grants Committee

Publisher

Wiley

Subject

Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology,Biological Psychiatry,Cognitive Neuroscience,Developmental Neuroscience,Endocrine and Autonomic Systems,Neurology,Experimental and Cognitive Psychology,Neuropsychology and Physiological Psychology,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3