Coarse-to-Fine Construction for High-Resolution Representation in Visual Working Memory

被引:28
|
作者
Gao, Zaifeng [1 ]
Ding, Xiaowei [1 ]
Yang, Tong [1 ]
Liang, Junying [1 ]
Shui, Rende [1 ]
机构
[1] Zhejiang Univ, Dept Psychol & Behav Sci, Hangzhou 310003, Zhejiang, Peoples R China
来源
PLOS ONE | 2013年 / 8卷 / 02期
基金
中国国家自然科学基金;
关键词
SHORT-TERM-MEMORY; NEURAL MECHANISMS; INFORMATION LOAD; FACE PERCEPTION; NUMBER; CAPACITY; STORAGE; ORGANIZATION; ALLOCATION; FEATURES;
D O I
10.1371/journal.pone.0057913
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: This study explored whether the high-resolution representations created by visual working memory (VWM) are constructed in a coarse-to-fine or all-or-none manner. The coarse-to-fine hypothesis suggests that coarse information precedes detailed information in entering VWM and that its resolution increases along with the processing time of the memory array, whereas the all-or-none hypothesis claims that either both enter into VWM simultaneously, or neither does. Methodology/Principal Findings: We tested the two hypotheses by asking participants to remember two or four complex objects. An ERP component, contralateral delay activity (CDA), was used as the neural marker. CDA is higher for four objects than for two objects when coarse information is primarily extracted; yet, this CDA difference vanishes when detailed information is encoded. Experiment 1 manipulated the comparison difficulty of the task under a 500-ms exposure time to determine a condition in which the detailed information was maintained. No CDA difference was found between two and four objects, even in an easy-comparison condition. Thus, Experiment 2 manipulated the memory array's exposure time under the easy-comparison condition and found a significant CDA difference at 100 ms while replicating Experiment 1's results at 500 ms. In Experiment 3, the 500-ms memory array was blurred to block the detailed information; this manipulation reestablished a significant CDA difference. Conclusions/Significance: These findings suggest that the creation of high-resolution representations in VWM is a coarse-to-fine process.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] A Coarse-to-Fine Deep Learning Based Land Use Change Detection Method for High-Resolution Remote Sensing Images
    Wang, Mingchang
    Zhang, Haiming
    Sun, Weiwei
    Li, Sheng
    Wang, Fengyan
    Yang, Guodong
    REMOTE SENSING, 2020, 12 (12)
  • [32] Visual Working Memory Capacity for Color Is Independent of Representation Resolution
    Ye, Chaoxiong
    Zhang, Lingcong
    Liu, Taosheng
    Li, Hong
    Liu, Qiang
    PLOS ONE, 2014, 9 (03):
  • [33] Time course of visual perception:: Coarse-to-fine processing and beyond
    Hegde, Jay
    PROGRESS IN NEUROBIOLOGY, 2008, 84 (04) : 405 - 439
  • [34] PERSON RE-IDENTIFICATION WITH COARSE-TO-FINE VISUAL ATTENTION
    Zhuang, Zijie
    Ai, Haizhou
    Shang, Chong
    Xiao, Lihu
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 1097 - 1101
  • [35] Stereoscopic depth processing in the visual cortex: a coarse-to-fine mechanism
    Menz, MD
    Freeman, RD
    NATURE NEUROSCIENCE, 2003, 6 (01) : 59 - 65
  • [36] Coarse-To-Fine Visual Localization Using Semantic Compact Map
    Liao, Ziwei
    Shi, Jieqi
    Qi, Xianyu
    Zhang, Xiaoyu
    Wang, Wei
    He, Yijia
    Liu, Xiao
    Wei, Ran
    2020 3RD INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTS (ICCR 2020), 2020, : 30 - 37
  • [37] Coarse-to-fine eye movement behavior during visual search
    Hayward J. Godwin
    Erik D. Reichle
    Tamaryn Menneer
    Psychonomic Bulletin & Review, 2014, 21 : 1244 - 1249
  • [38] Stereoscopic depth processing in the visual cortex: a coarse-to-fine mechanism
    Michael D. Menz
    Ralph D. Freeman
    Nature Neuroscience, 2003, 6 : 59 - 65
  • [39] Coarse-to-fine eye movement behavior during visual search
    Godwin, Hayward J.
    Reichle, Erik D.
    Menneer, Tamaryn
    PSYCHONOMIC BULLETIN & REVIEW, 2014, 21 (05) : 1244 - 1249
  • [40] Visual Face Tracking: a Coarse-to-Fine Target State Estimation
    Bouachir, Wassim
    Bilodeau, Guillaume-Alexandre
    2013 INTERNATIONAL CONFERENCE ON COMPUTER AND ROBOT VISION (CRV), 2013, : 45 - 51