The capacity limitations of orientation summary statistics

被引:0
作者
Mouna Attarha
Cathleen M. Moore
机构
[1] University of Iowa,Department of Psychology
来源
Attention, Perception, & Psychophysics | 2015年 / 77卷
关键词
Summary statistics; Ensemble representations; Mean orientation; Processing capacity limitations; Simultaneous–sequential method;
D O I
暂无
中图分类号
学科分类号
摘要
The simultaneous–sequential method was used to test the processing capacity of establishing mean orientation summaries. Four clusters of oriented Gabor patches were presented in the peripheral visual field. One of the clusters had a mean orientation that was tilted either left or right, whereas the mean orientations of the other three clusters were roughly vertical. All four clusters were presented at the same time in the simultaneous condition, whereas the clusters appeared in temporal subsets of two in the sequential condition. Performance was lower when the means of all four clusters had to be processed concurrently than when only two had to be processed in the same amount of time. The advantage for establishing fewer summaries at a given time indicates that the processing of mean orientation engages limited-capacity processes (Exp. 1). This limitation cannot be attributed to crowding, low target–distractor discriminability, or a limited-capacity comparison process (Exps. 2 and 3). In contrast to the limitations of establishing multiple summary representations, establishing a single summary representation unfolds without interference (Exp. 4). When interpreted in the context of recent work on the capacity of summary statistics, these findings encourage a reevaluation of the view that early visual perception consists of creating summary statistic representations that unfold independently across multiple areas of the visual field.
引用
收藏
页码:1116 / 1131
页数:15
相关论文
共 50 条
  • [1] The capacity limitations of orientation summary statistics
    Attarha, Mouna
    Moore, Cathleen M.
    ATTENTION PERCEPTION & PSYCHOPHYSICS, 2015, 77 (04) : 1116 - 1131
  • [2] Summary Statistics of Size: Fixed Processing Capacity for Multiple Ensembles but Unlimited Processing Capacity for Single Ensembles
    Attarha, Mouna
    Moore, Cathleen M.
    Vecera, Shaun P.
    JOURNAL OF EXPERIMENTAL PSYCHOLOGY-HUMAN PERCEPTION AND PERFORMANCE, 2014, 40 (04) : 1440 - 1449
  • [3] The perceptual processing capacity of summary statistics between and within feature dimensions
    Attarha, Mouna
    Moore, Cathleen M.
    JOURNAL OF VISION, 2015, 15 (04):
  • [4] Subcortical encoding of summary statistics in humans
    Zhao, Yuqing
    Zeng, Ting
    Wang, Tongyu
    Fang, Fang
    Pan, Yi
    Jia, Jianrong
    COGNITION, 2023, 234
  • [5] Relating categorization to set summary statistics perception
    Khayat, Noam
    Hochstein, Shaul
    ATTENTION PERCEPTION & PSYCHOPHYSICS, 2019, 81 (08) : 2850 - 2872
  • [6] Extracting Summary Statistics of Rapid Numerical Sequences
    Rosenbaum, David
    Glickman, Moshe
    Usher, Marius
    FRONTIERS IN PSYCHOLOGY, 2021, 12
  • [7] Truncated tests for combining evidence of summary statistics
    Bu, Deliang
    Yang, Qinglong
    Meng, Zhen
    Zhang, Sanguo
    Li, Qizhai
    GENETIC EPIDEMIOLOGY, 2020, 44 (07) : 687 - 701
  • [8] Big Data Clustering based on Summary Statistics
    Fu, Junsong
    Liu, Yun
    Zhang, Zhenjiang
    Xiong, Fei
    2015 FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE THEORY, SYSTEMS AND APPLICATIONS (CCITSA 2015), 2015, : 87 - 91
  • [9] Relating categorization to set summary statistics perception
    Noam Khayat
    Shaul Hochstein
    Attention, Perception, & Psychophysics, 2019, 81 : 2850 - 2872
  • [10] Semi-supervised learning with summary statistics
    Qin, Huihui
    Guo, Xin
    ANALYSIS AND APPLICATIONS, 2019, 17 (05) : 837 - 851