Limitations of concurrently representing objects within view and in visual working memory
Liang, T., Cheng, Z., Hu, W., Ye, C., Zhang, J., & Liu, Q. (2020). Limitations of concurrently representing objects within view and in visual working memory. Scientific Reports, 10, Article 5351. https://doi.org/10.1038/s41598-020-62164-y
Published inScientific Reports
© 2020 The Author(s)
Representing visibly present stimuli is as limited in capacity as representing invisible stimuli in visual working memory (WM). In this study, we explored whether concurrently representing stimuli within view affects representing objects in visual WM, and if so, whether this effect is modulated by the storage states (active and silent state) of memory contents? In experiment 1, participants were asked to perform the change-detect task in a simultaneous-representing condition in which WM content and the continuously-visible stimuli in view were simultaneously represented, as well as a baseline condition in which only the representations of visual WM content were maintained. The results showed that the representations in visual WM would be impaired when the continuously-visible stimuli in view were concurrently represented, revealed by the reduced CDA amplitude and the lower behavior performance. In experiment 2, a dual-serial retro-cue paradigm was adopted to guide participants to maintain memory items in two different storage states, and the results revealed that simultaneously representing the continuously-visible stimuli and the WM content would only impair the WM representations in the active state. These evidences demonstrated that only the visual WM representations that were maintained in the active state would definitely share the limited resources with the representations of continuously-visible information, and further supported the dissociation between the active state and silent state of visual WM storage. ...
PublisherNature Publishing Group
Publication in research information system
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Additional information about fundingThe study was supported by grants from the National Natural Science Foundation of China (NSFC 31970989) to Q.L.
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