Comparing the prioritisation of items and feature-dimensions in visual working memory

Comparing the prioritisation of items and feature-dimensions in visual working memory
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DOI:
10.1101/863191
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发表时间:
2019-12
期刊:
bioRxiv
影响因子:
--
通讯作者:
Jasper E. Hajonides;F. van Ede;M. Stokes;A. Nobre
Jasper E. Hajonides;F. van Ede;M. Stokes;A. Nobre
中科院分区:
其他
文献类型:
--
作者:
Jasper E. Hajonides;F. van Ede;M. Stokes;A. Nobre

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选择性注意不仅可以指向外部感觉输入,也可以指向视觉工作记忆(VWM)中的内部感觉表征。到目前为止,这主要是通过回顾性线索来研究的,这些线索将注意力引导到特定的项目或它们在记忆中的位置。除了项目级的注意力优先,最近的研究表明,选择性地参加VWM的功能尺寸也可以提高记忆回忆性能。然而,迄今为止还没有研究直接比较VWM中基于项目和基于特征的注意,也没有它们的神经基础。在这里,我们比较了追溯线索(追溯线索)的好处是针对一个多功能项目或在两个空间隔离的项目之间共享的功能维度。行为结果显示,在回忆准确性和反应时间的质量相似的注意力的好处,但也表明,线索的好处更大的项目线索。并发EEG测量进一步揭示了类似的衰减后α振荡项目和功能追溯线索相比,非信息,中性追溯线索。我们认为,注意力可以灵活地优先考虑最相关的信息-无论是在项目或功能级别-以优化随后的内存为基础的任务性能,我们讨论了所观察到的共性和差异之间的影响项目级和功能级的优先级VWM。
Selective attention can be directed not only to external sensory inputs, but also to internal sensory representations held within visual working memory (VWM). To date, this has been studied predominantly following retrospective cues directing attention to particular items, or their locations in memory. In addition to item-level attentional prioritisation, recent studies have shown that selectively attending to feature dimensions in VWM can also improve memory recall performance. However, no study to date has directly compared item-based and feature-based attention in VWM, nor their neural bases. Here, we compared the benefits of retrospective cues (retro-cues) that were directed either at a multi-feature item or at a feature-dimension that was shared between two spatially segregated items. Behavioural results revealed qualitatively similar attentional benefits in both recall accuracy and response time, but also showed that cueing benefits were larger following item cues. Concurrent EEG measurements further revealed a similar attenuation of posterior alpha oscillations following both item and feature retro-cues when compared to non-informative, neutral retro-cues. We argue that attention can act flexibly to prioritise the most relevant information – at either the item or the feature-level – to optimise ensuing memory-based task performance, and we discuss the implications of the observed commonalities and differences between item-level and feature-level prioritisation in VWM.