Low-level mechanisms do not explain paradoxical motion percepts

被引:22
|
作者
Glasser, Davis M. [1 ,2 ]
Tadin, Duje [1 ,2 ]
机构
[1] Univ Rochester, Ctr Visual Sci, Rochester, NY 14627 USA
[2] Univ Rochester, Dept Brain & Cognit Sci, Rochester, NY 14627 USA
来源
JOURNAL OF VISION | 2010年 / 10卷 / 04期
关键词
spatial suppression; contrast sensitivity; motion; motion-2D; CENTER-SURROUND INTERACTIONS; TEMPORAL VISUAL AREA; CLASSICAL RECEPTIVE-FIELD; PSYCHOMETRIC FUNCTION; CONTRAST; NEURONS; MT; SUMMATION; GABA; DISCRIMINATION;
D O I
10.1167/10.4.20
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Classic psychophysical studies have shown that increasing the size of low-contrast moving stimuli increases their discriminability, indicating spatial summation mechanisms. More recently, a number of studies have reported that for moderate and high contrasts, size increases yield substantial deteriorations of motion perception-a result described as psychophysical spatial suppression. While this result resembles known characteristics of suppressive center-surround neural mechanisms, a recent study (C. R. Aaen-Stockdale, B. Thompson, P. C. Huang, & R. F. Hess, 2009) argued that observed size-dependent changes in motion perception might be explained by differences in contrast sensitivity for stimuli of different sizes. Here, we tested this hypothesis using duration threshold measurements-an experimental approach used in several spatial suppression studies. The results replicated previous reports by demonstrating spatial suppression at a fixed, high contrast. Importantly, we observed strong spatial suppression even when stimuli were normalized relative to their contrast thresholds. While the exact mechanisms underlying spatial suppression still need to be adequately characterized, this study demonstrates that a low-level explanation proposed by Aaen-Stockdale et al. (2009) cannot account for spatial suppression results.
引用
收藏
页码:1 / 9
页数:9
相关论文
共 50 条
  • [31] Estimating pose of articulated objects using low-level motion
    Daubney, Ben
    Gibson, David
    Campbell, Neill
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2012, 116 (03) : 330 - 346
  • [32] Low-level motion activity features for semantic characterization of video
    Peker, KA
    Alatan, AA
    Akansu, AN
    2000 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, PROCEEDINGS VOLS I-III, 2000, : 801 - 804
  • [33] Low-Level Mechanisms for Processing Odor Information in the Behaving Animal
    Wachowiak, Matt
    Wesson, Daniel W.
    Pirez, Nicolas
    Verhagen, Justus V.
    Carey, Ryan M.
    CHEMICAL SENSES, 2008, 33 (08) : S24 - S24
  • [34] Low-level Mechanisms for Processing Odor Information in the Behaving Animal
    Wachowiak, Matt
    Wesson, Daniel W.
    Pirez, Nicolas
    Verhagen, Justus V.
    Carey, Ryan M.
    INTERNATIONAL SYMPOSIUM ON OLFACTION AND TASTE, 2009, 1170 : 286 - 292
  • [35] Mechanisms of the great plains low-level jet as simulated in an AGCM
    Jiang, Xianan
    Lau, Ngar-Cheung
    Held, Isaac M.
    Ploshay, Jeffrey J.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2007, 64 (02) : 532 - 547
  • [36] Characteristics and Formation Mechanisms of Low-Level Jets in Northeastern China
    Shu, Hailong
    Zhang, Fan
    Du, Yu
    Wang, Yue
    Guo, Huichuang
    Song, Zhen
    Zhang, Qinghong
    ADVANCES IN ATMOSPHERIC SCIENCES, 2024, 41 (12) : 2432 - 2445
  • [37] Characteristics and Formation Mechanisms of Low-Level Jets in Northeastern China
    Hailong SHU
    Fan ZHANG
    Yu DU
    Yue WANG
    Huichuang GUO
    Zhen SONG
    Qinghong ZHANG
    Advances in Atmospheric Sciences, 2024, 41 (12) : 2432 - 2445
  • [38] Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
    Andrew N. Stein
    Martial Hebert
    International Journal of Computer Vision, 2009, 82 : 325 - 357
  • [39] Principled fusion of high-level model and low-level cues for motion segmentation
    Thayananthan, Arasanathan
    Iwasaki, Masahiro
    Cipolla, Roberto
    2008 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-12, 2008, : 751 - +
  • [40] Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
    Stein, Andrew N.
    Hebert, Martial
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2009, 82 (03) : 325 - 357