Pooling and segmenting motion signals

被引:16
作者
Burr, David C. [1 ,2 ]
Baldassi, Stefano [1 ]
Morrone, M. Concetta [3 ,4 ]
Verghese, Preeti [5 ]
机构
[1] Univ Florence, Dept Psychol, I-50125 Florence, Italy
[2] Univ Western Australia, Dept Psychol, Nedlands, WA 6009, Australia
[3] Univ Pisa, Pisa, Italy
[4] Sci Inst Stella Maris, Pisa, Italy
[5] Smith Kettlewell Eye Res Inst, San Francisco, CA 94115 USA
基金
美国国家航空航天局; 美国国家科学基金会; 欧洲研究理事会;
关键词
Motion; Attention; Summation; Visual search; VISUAL-SEARCH; OPTIC FLOW; MACAQUE MONKEY; CONTRAST; DISCRIMINATION; UNCERTAINTY; ATTENTION; SEGMENTATION; INTEGRATION; THRESHOLDS;
D O I
10.1016/j.visres.2008.10.024
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Humans are extremely sensitive to visual motion, largely because local motion signals can be integrated over a large spatial region. On the other hand, summation is often not advantageous, for example when segmenting a moving stimulus against a stationary or oppositely moving background. In this study we show that the spatial extent of motion integration is not compulsory, but is subject to voluntary attentional control. Measurements of motion coherence sensitivity with summation and search paradigms showed that human observers can combine motion signals from cued regions or patches in an optimal manner, even when the regions are quite distinct and remote from each other. Further measurements of contrast sensitivity reinforce previous studies showing that motion integration is preceded by a local analysis akin to contrast thresholding (or intrinsic uncertainty). The results were well modelled by two standard signal-detection-theory models. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1065 / 1072
页数:8
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