Interaction of attention and temporal object priming

被引:1
|
作者
Bauer, Frank [1 ]
Usher, Marius [2 ]
Mueller, Hermann J. [1 ,2 ]
机构
[1] Univ Munich, Dept Psychol Allgemeine & Expt Psychol, D-80802 Munich, Germany
[2] Univ London, Birkbeck Coll, Sch Psychol, London, England
来源
关键词
OSCILLATORY RESPONSES; FEATURE-INTEGRATION; SYNCHRONIZATION; SEARCH; DISCRIMINATION; FLICKER; LINKS;
D O I
10.1007/s00426-008-0217-8
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Within a 3 x 3 matrix of 90A degrees corner junctions, detection of a Kanizsa-type square is facilitated when the target display is preceded by a 40-Hz flickering premask of 3 x 3 crosses, with four crosses synchronously oscillating at the subsequent target location. To examine whether this 'synchrony-priming' effect is influenced by, or dependent on, visuo-spatial attention, a spatial-cueing manipulation was introduced. Observers were presented with a visual or acoustic cue which indicated the likely target quadrant. The main finding was that synchrony priming was larger for invalidly, compared with validly, cued locations, and that the priming effect was figural, rather than spatial, in nature (i.e., confined to points associated with the completed boundary, rather than extending to the inner region, defined by the synchronous premask elements). This pattern of effects argues that target processing is expedited not by attracting spatial attention to the primed location, but by the prime expediting (figure-specific) target encoding, as a result of which the target position gains a processing and selection advantage relative to non-primed locations.
引用
收藏
页码:287 / 301
页数:15
相关论文
共 50 条
  • [31] Contextual Priming for Object Detection
    Antonio Torralba
    International Journal of Computer Vision, 2003, 53 : 169 - 191
  • [32] Moving object location prediction based on a graph neural network with temporal attention
    Qian J.
    Wu Y.
    International Journal of Security and Networks, 2023, 18 (03) : 153 - 164
  • [33] A feature temporal attention based interleaved network for fast video object detection
    Yanni Yang
    Huansheng Song
    Shijie Sun
    Yan Chen
    Xinyao Tang
    Qin Shi
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 : 497 - 509
  • [34] Contextual priming for object detection
    Torralba, A
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2003, 53 (02) : 169 - 191
  • [35] Object-based maintenance of temporal attention in rapid serial visual presentation
    Ariga, Atsunori
    Kawahara, Jun-ichiro
    Watanabe, Katsumi
    VISUAL COGNITION, 2011, 19 (05) : 553 - 584
  • [36] Attention Embedded Spatio-Temporal Network for Video Salient Object Detection
    Huang, Lili
    Yan, Pengxiang
    Li, Guanbin
    Wang, Qing
    Lin, Liang
    IEEE ACCESS, 2019, 7 : 166203 - 166213
  • [37] Temporal attention in face and object recognition: Holistic and feature-based processes
    Benito, C. T.
    Harris, I. M.
    PERCEPTION, 2007, 36 : 124 - 124
  • [38] Domain adaptation with temporal ensembling to local attention region search for object detection
    Shi, Haobin
    He, Ziming
    Hwang, Kao-Shing
    KNOWLEDGE-BASED SYSTEMS, 2025, 309
  • [39] A feature temporal attention based interleaved network for fast video object detection
    Yang, Yanni
    Song, Huansheng
    Sun, Shijie
    Chen, Yan
    Tang, Xinyao
    Shi, Qin
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 14 (1) : 497 - 509
  • [40] The object of their attention
    Tishman, Shari
    EDUCATIONAL LEADERSHIP, 2008, 65 (05) : 44 - 46