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Feature binding in Working Memory Requires Object-based Attention

机译:工作内存中的功能绑定需要基于对象的注意

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Feature binding is a core concept in many research fields, including the study of working memory (WM). Over the past decade, it has been debated whether keeping the feature binding in visual WM consumes more visual attention than the constituent single features. Previous studies have only explored the contribution of domain-general attention or spatial-based attention in the binding process, no study so far has explored the role of object-based attention in retaining binding in visual WM. We hypothesized that object-based attention underlay the mechanism of rehearsing feature binding in visual WM. Therefore, during the maintenance phase of a visual WM task, we inserted a secondary mental rotation, transparent motion, or object-based feature report task to consume the object-based attention available for binding. In line with prediction of the object-based attention hypothesis, we consistently revealed a significant impairment for binding than for constituent single features. However, this selective binding impairment was not observed by inserting a spatial-based visual search task. Finally, we found binding recovery if giving participants sufficient time after the secondary object-based task; but not after the secondary spatial-based task. Taken together, these results suggest that the maintaining feature binding in WM needs object-based attention. (Acknowledgement: This research is supported by the National Natural Science Foundation of China (No. 31170975, 31271089).Corresponding author: zaifengg@gmail.com)
机译:功能绑定是许多研究领域的核心概念,包括工作记忆(WM)研究。在过去的十年中,关于在视觉WM中保持特征绑定是否比构成单个特征消耗更多的视觉注意力,一直存在争议。以前的研究仅探讨了领域一般注意或基于空间的注意在绑定过程中的贡献,到目前为止,还没有研究探讨基于对象的注意在视觉WM中保持绑定的作用。我们假设基于对象的注意力奠定了视觉WM中彩排特征绑定的机制。因此,在可视WM任务的维护阶段,我们插入了第二个心理旋转,透明运动或基于对象的功能报告任务,以消耗可用于绑定的基于对象的注意力。与基于对象的注意力假设的预测一致,我们一致地揭示了结合的损害比构成单个特征的损害更大。但是,通过插入基于空间的视觉搜索任务未观察到这种选择性结合损伤。最后,如果给参与者足够的时间来完成基于对象的第二任务,我们发现绑定恢复。但不是在执行基于空间的辅助任务之后。综上所述,这些结果表明WM中的维护功能绑定需要基于对象的注意。 (鸣谢:本研究得到国家自然科学基金资助(No. 31170975,31271089)。通讯作者:zaifengg@gmail.com)

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