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首页> 外文期刊>Journal of Cognitive Neuroscience >Ultrafast Object Detection in Naturalistic Vision Relies on Ultrafast Distractor Suppression
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Ultrafast Object Detection in Naturalistic Vision Relies on Ultrafast Distractor Suppression

机译:自然视觉中的超快速目标检测依赖于超快速干扰物抑制

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People are quicker to detect examples of real-world object categories in natural scenes than is predicted by classic attention theories. One explanation for this puzzle suggests that experience renders the visual system sensitive to midlevel features diagnosing target presence. These are detected without the need for spatial attention, much as occurs for targets defined by low-level features like color or orientation. The alternative is that naturalistic search relies on spatial attention but is highly efficient because global scene information can be used to quickly reject nontarget objects and locations. Here, we use ERPs to differentiate between these possibilities. Results show that hallmark evidence of ultrafast target detection in frontal brain activity is preceded by an index of spatially specific distractor suppression in visual cortex. Naturalistic search for heterogenous targets therefore appears to rely on spatial operations that act on neural object representations, as predicted by classic attention theory. People appear able to rapidly reject nontarget objects and locations, consistent with the idea that global scene information is used to constrain naturalistic search and increase search efficiency.
机译:与经典注意力理论所预测的相比,人们更快地在自然场景中发现现实世界中物体类别的示例。对此难题的一种解释表明,经验使视觉系统对诊断目标存在的中级特征敏感。不需要空间注意就可以检测到这些,就像由低级特征(例如颜色或方向)定义的目标一样。另一种选择是自然搜索依赖于空间注意力,但是效率很高,因为可以使用全局场景信息来快速拒绝非目标对象和位置。在这里,我们使用ERP来区分这些可能性。结果表明,额叶大脑活动中超快速目标检测的标志性证据之前是视觉皮层中空间特异性干扰物抑制的指数。因此,如经典注意力理论所预测的那样,自然搜索异质目标似乎依赖于作用于神经对象表示的空间操作。人们似乎能够迅速拒绝非目标物体和位置,这与使用全局场景信息来约束自然搜索并提高搜索效率的想法一致。

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