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Memory load modulates graded changes in distracter filtering

机译:内存负载可调节分散器过滤中的渐变变化

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摘要

Our ability to maintain small amounts of information in mind is critical for successful performance on a wide range of tasks. However, it remains unclear exactly how this maintenance is achieved. One possibility is that it is brought about using mechanisms that overlap with those used for attentional control. That is, the same mechanisms that we use to regulate and optimize our sensory processing may be recruited when we maintain information in visual short-term memory (VSTM). We aimed to test this hypothesis by exploring how distracter filtering is modified by concurrent VSTM load. We presented participants with sequences of target items, the order and location of which had to be maintained in VSTM. We also presented distracter items alongside the targets, and these distracters were graded such that they could be either very similar or dissimilar to the targets. We analyzed scalp potentials using a novel multiple regression approach, which enabled us to explore the neural mechanisms by which the participants accommodated these variable distracters on a trial-to-trial basis. Critically, the effect of distracter filtering interacted with VSTM load; the same graded changes in perceptual similarity exerted effects of a different magnitude depending upon how many items participants were already maintaining in VSTM. These data provide compelling evidence that maintaining information in VSTM recruits an overlapping set of attentional control mechanisms that are otherwise used for distracter filtering.
机译:我们在头脑中保留少量信息的能力对于在各种任务上成功执行至关重要。但是,仍然不清楚究竟如何实现此维护。一种可能性是通过使用与注意力控制所使用的机制重叠的机制来实现的。也就是说,当我们在视觉短期记忆(VSTM)中维护信息时,可能会采用与我们用来调节和优化感觉处理的机制相同的机制。我们旨在通过探索如何通过并发VSTM负载修改干扰项过滤来检验该假设。我们向参与者提供了目标项目的序列,这些项目的顺序和位置必须在VSTM中维护。我们还在目标旁边展示了干扰项,并且对这些干扰项进行了分级,以使其与目标非常相似或不同。我们使用一种新颖的多元回归方法分析了头皮的潜力,这使我们能够探索神经元的机制,从而使参与者能够在试验到试验的基础上适应这些可变的干扰因素。至关重要的是,分心器过滤的效果与VSTM负载相互作用。知觉相似性的相同等级变化会产生不同程度的影响,具体取决于参与者在VSTM中已经维护了多少项。这些数据提供了令人信服的证据,表明在VSTM中维护信息会招募一套重叠的注意力控制机制,否则这些机制将用于分散注意力的过滤。

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