Fabre-Thorpe M, Delorme A, Marlot C, Thorpe S
Centre de Recherche Cerveau and Cognition (UMR 5549, CNRS-UPS), Faculté de Médecine de Rangueil, Toulouse, France.
J Cogn Neurosci. 2001 Feb 15;13(2):171-80. doi: 10.1162/089892901564234.
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.
判断一幅快速闪现的自然场景中是否包含动物所需的处理过程可在150毫秒内完成（索普、菲兹和马洛特，1996年）。我们在此报告，在3周时间内对一组照片进行广泛训练，并未提高这种快速视觉分类背后的处理速度：全新的场景与非常熟悉的场景分类速度一样快。这些数据表明，视觉系统处理新刺激的速度和阶段数量无法被压缩。在广泛的视觉复杂图像中都能看到这种快速处理模式，这对短反应时间仅见于简单视觉刺激的观点提出了挑战，并暗示高度自动的前馈机制在日常视觉所需的复杂图像分析中所占比例比一般认为的要大得多。
