分类
视觉处理
心理学
视觉感受
自然(考古学)
人工智能
场景统计
沟通
计算机视觉
认知心理学
感知
计算机科学
模式识别(心理学)
神经科学
历史
考古
作者
Michèle Fabre‐Thorpe,Arnaud Delorme,Catherine Marlot,Simon J. Thorpe
标识
DOI:10.1162/089892901564234
摘要
The processing required to decide whether a briefly flashed natural scene contains an animal can be achieved in 150 msec (Thorpe, Fize, & Marlot, 1996). Here we report that extensive training with a subset of photographs over a 3-week period failed to increase the speed of the processing underlying such Rapid Visual Categorizations: Completely novel scenes could be categorized just as fast as highly familiar ones. Such data imply that the visual system processes new stimuli at a speed and with a number of stages that cannot be compressed. This rapid processing mode was seen with a wide range of visual complex images, challenging the idea that short reaction times can only be seen with simple visual stimuli and implying that highly automatic feed-forward mechanisms underlie a far greater proportion of the sophisticated image analysis needed for everyday vision than is generally assumed.
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