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从时间自相关的视觉刺激中延迟采样信息。

A delay in sampling information from temporally autocorrelated visual stimuli.

机构信息

Buidling 459 (RDRL-HRS) CCDC Army Research Lab, Aberdeen Proving Ground, MD, 21005, USA.

Brennan MacCallum Building, School of Psychology, The University of Sydney, Sydney, NSW, 2006, Australia.

出版信息

Nat Commun. 2020 Apr 15;11(1):1852. doi: 10.1038/s41467-020-15675-1.

Abstract

Much of our world changes smoothly in time, yet the allocation of attention is typically studied with sudden changes - transients. A sizeable lag in selecting feature information is seen when stimuli change smoothly. Yet this lag is not seen with temporally uncorrelated rapid serial visual presentation (RSVP) stimuli. This suggests that temporal autocorrelation of a feature paradoxically increases the latency at which information is sampled. To test this, participants are asked to report the color of a disk when a cue was presented. There is an increase in selection latency when the disk's color changed smoothly compared to randomly. This increase is due to the smooth color change presented after the cue rather than extrapolated predictions based on the color changes presented before. These results support an attentional drag theory, whereby attentional engagement is prolonged when features change smoothly. A computational model provides insights into the potential underlying neural mechanisms.

摘要

我们的世界在大多数情况下都是平稳变化的,但注意力的分配通常是通过突然的变化——瞬态来研究的。当刺激平稳变化时,人们在选择特征信息时会出现相当大的滞后。然而,当刺激是时间上不相关的快速连续视觉呈现(RSVP)时,这种滞后就不会出现。这表明,特征的时间自相关性反而会增加信息被采样的潜伏期。为了验证这一点,要求参与者在提示出现时报告一个圆盘的颜色。与随机变化相比,当圆盘的颜色平稳变化时,选择的潜伏期会增加。这种增加是由于提示后呈现的平稳颜色变化,而不是基于之前呈现的颜色变化进行的外推预测。这些结果支持了注意力拖曳理论,即当特征平稳变化时,注意力的参与会延长。一个计算模型提供了对潜在神经机制的深入了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a15/7160117/fd3b7ffef47b/41467_2020_15675_Fig1_HTML.jpg

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