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Simultaneity in the millisecond range as a requirement for effective shape recognition

机译:有效识别形状的要求必须在毫秒范围内同步

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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.
机译:视觉系统的神经元能够以毫秒精度发射,并且发射的同步性可以提供一种机制,用于“结合”图像中的刺激元素以用于识别。虽然神经生理学是暗示性的,但很少有行为工作来支持同步有助于物体识别的观点。本实验通过短暂闪烁位于可命名对象外边界的点(类似于轮廓)来检查此问题。给定点的显示仅持续0.1毫秒,并且当要求对象命名每个对象时,点对之间以及点对之间的时间接近度有所不同。在Exp 1中,点对的显示基本上是同时的(0.2 ms表示两者),随着对之间的间隔从0 ms增加到6 ms,形状的识别呈线性下降。与0 ms延迟时的性能相比,即使两对之间的2 ms间隔也会导致识别率显着降低。在Exp 2中,线对之间的间隔恒定为3 ms,而线对成员之间的间隔则变化。在这里,随着配对成员之间的间隔从0毫秒增加到1.5毫秒,还观察到了线性下降,0毫秒和0.5毫秒之间的差异很明显。因此,为了形状识别的目的,可以将最小的瞬时离散提示集成到同步显示的程度,并且对于图像数据的有效编码需要毫秒乃至亚毫秒范围内的一致。

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