Parallel processing in high-level categorization of natural images
Parallel processing in high-level categorization of natural images
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DOI：
10.1038/nn866
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发表时间：
2002-07-01
影响因子：
25
通讯作者：
Thorpe, SJ
中科院分区：
文献类型：
--
作者：
Rousselet, GA;Fabre-Thorpe, M;Thorpe, SJ
视觉处理模型通常包括被限制为相对较低级别特征的初始并行阶段，而较高级别对象描述的激活通常被认为需要注意、。在这里，我们报道，即使是高水平的物体表征也可以并行获得：在快速的动物与非动物分类任务中，行为和电生理数据都表明，人类受试者对两个同时呈现的自然图像的反应速度与他们对单个自然图像的反应速度一样快。这意味着，即使是复杂的自然图像也可以并行处理，而不需要连续的焦点关注。
Models of visual processing often include an initial parallel stage that is restricted to relatively low-level features, whereas activation of higher-level object descriptions is generally assumed to require attention,,,. Here we report that even high-level object representations can be accessed in parallel: in a rapid animal versus non-animal categorization task, both behavioral and electrophysiological data show that human subjects were as fast at responding to two simultaneously presented natural images as they were to a single one. The implication is that even complex natural images can be processed in parallel without the need for sequential focal attention.