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首页> 外文期刊>Journal of Cognitive Neuroscience >The Attentional Blink Reveals Serial Working Memory Encoding: Evidence from Virtual and Human Event-related Potentials
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The Attentional Blink Reveals Serial Working Memory Encoding: Evidence from Virtual and Human Event-related Potentials

机译:注意眨眼揭示了串行工作内存编码:来自虚拟和人类事件相关电位的证据

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摘要

Observers often miss a second target (T2) if it follows an identified first target item (T1) within half a second in rapid serial visual presentation (RSVP), a finding termed the attentional blink. If two targets are presented in immediate succession, however, accuracy is excellent (Lag 1 sparing). The resource sharing hypothesis proposes a dynamic distribution of resources over a time span of up to 600 msec during the attentional blink. In contrast, the ST~2 model argues that working memory encoding is serial during the attentional blink and that, due to joint consolidation, Lag 1 is the only case where resources are shared. Experiment 1 investigates the P3 ERP component evoked by targets in RSVP. The results suggest that, in this context, P3 am-rnplitude is an indication of bottom-up strength rather than a measure of cognitive resource allocation. Experiment 2, employing a two-target paradigm, suggests that Tl consolidation is not affected by the presentation of T2 during the attentional blink. However, if targets are presented in immediate succession (Lag 1 sparing), they are jointly encoded into working memory. We use the ST~2 model's neural network implementation, which replicates a range of behavioral results related to the attentional blink, to generate "virtual ERPs" by summing across activation traces. We compare virtual to human ERPs and show how the results suggest a serial nature of working memory encociing as implied by the ST~2 model.
机译:如果观察者在快速连续视觉呈现(RSVP)的半秒内跟随已识别的第一目标项目(T1),观察者通常会错过第二目标(T2),这一发现称为注意力眨眼。但是,如果立即连续出现两个目标,则准确性极佳(保留1级)。资源共享假设提出了在注意眨眼期间在高达600毫秒的时间范围内动态分配资源。相反,ST〜2模型认为工作记忆编码在注意眨眼期间是串行的,并且由于联合整合,延迟1是唯一共享资源的情况。实验1研究了RSVP中目标引起的P3 ERP组件。结果表明,在这种情况下,P3幅度是自下而上强度的指标,而不是认知资源分配的指标。使用二目标范例的实验2表明,T1合并不受注意眨眼期间T2的呈现的影响。但是,如果立即连续显示目标(延迟1备用),则会将它们联合编码到工作内存中。我们使用ST〜2模型的神经网络实现,该过程复制与注意眨眼相关的一系列行为结果,通过汇总激活轨迹来生成“虚拟ERP”。我们将虚拟ERP与人类ERP进行了比较,并显示了结果如何表明ST〜2模型所隐含的工作记忆编码的连续性。

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