Greene Ernest
Laboratory for Neurometric Research Department of Psychology University of Southern California Los Angeles, CA 90089-1061, USA.
Behav Brain Funct. 2006 Nov 29;2:38. doi: 10.1186/1744-9081-2-38.
Neurons of the visual system are capable of firing with millisecond precision, and synchrony of firing may provide a mechanism for "binding" stimulus elements in the image for purposes of recognition. While the neurophysiology is suggestive, there has been relatively little behavioral work to support the proposition that synchrony contributes to object recognition. The present experiments examined this issue by briefly flashing dots that were positioned at the outer boundary of namable objects, similar to silhouettes. Display of a given dot lasted only 0.1 ms, and temporal proximity of dot pairs, and among dot pairs, was varied as subjects were asked to name each object. In Exp 1, where the display of dots pairs was essentially simultaneous (0.2 ms to show both), there was a linear decline in recognition of the shapes as the interval between pairs increased from 0 ms to 6 ms. Compared with performance at 0 ms of delay, even the 2 ms interval between pairs produced a significant decrease in recognition. In Exp 2 the interval between pairs was constant at 3 ms, and the interval between pair members was varied. Here also a linear decline was observed as the interval between pair members increased from 0 ms to 1.5 ms, with the difference between 0 ms and 0.5 ms being significant. Thus minimal transient discrete cues can be integrated for purposes of shape recognition to the extent that they are synchronously displayed, and coincidence in the millisecond and even submillisecond range is needed for effective encoding of image data.
视觉系统的神经元能够以毫秒级的精度放电,放电同步可能为图像中的刺激元素“绑定”提供一种机制,以实现识别目的。虽然神经生理学有一定的暗示作用,但相对来说,支持同步有助于物体识别这一观点的行为学研究较少。本实验通过短暂闪烁位于可命名物体外边界的点(类似于剪影)来研究这个问题。给定的点显示仅持续0.1毫秒,当要求受试者命名每个物体时,点对之间以及点对内部的时间接近度会有所变化。在实验1中,点对的显示基本同步(显示两者共需0.2毫秒),随着点对之间的间隔从0毫秒增加到6毫秒,形状识别呈线性下降。与延迟0毫秒时的表现相比,即使点对之间2毫秒的间隔也会导致识别率显著下降。在实验2中,点对之间的间隔固定为3毫秒,点对成员之间的间隔则有所变化。同样,随着点对成员之间的间隔从0毫秒增加到1.5毫秒,也观察到了线性下降,0毫秒和0.5毫秒之间的差异显著。因此,为了形状识别,最小的瞬态离散线索在同步显示的程度上可以被整合,并且为了有效地编码图像数据,需要毫秒甚至亚毫秒范围内的重合。