Neural measures reveal individual differences in controlling access to working memory
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DOI: 10.1038/nature04171
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Cited by:
- Jifan Zhou & Jun Yin & Tong Chen & Xiaowei Ding & Zaifeng Gao & Mowei Shen, 2011. "Visual Working Memory Capacity Does Not Modulate the Feature-Based Information Filtering in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-10, September.
- Johan Liljefors & Rita Almeida & Gustaf Rane & Johan N. Lundström & Pawel Herman & Mikael Lundqvist, 2024. "Distinct functions for beta and alpha bursts in gating of human working memory," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
- Krieger, Florian & Zimmer, Hubert D. & Greiff, Samuel & Spinath, Frank M. & Becker, Nicolas, 2019. "Why are difficult figural matrices hard to solve? The role of selective encoding and working memory capacity," Intelligence, Elsevier, vol. 72(C), pages 35-48.
- Burgoyne, Alexander P. & Mashburn, Cody A. & Tsukahara, Jason S. & Engle, Randall W., 2022. "Attention control and process overlap theory: Searching for cognitive processes underpinning the positive manifold," Intelligence, Elsevier, vol. 91(C).
- Mohammad Zia Ul Haq Katshu & Giovanni d'Avossa, 2014. "Fine-Grained, Local Maps and Coarse, Global Representations Support Human Spatial Working Memory," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
- Jonathan T Mall & Candice C Morey, 2013. "High Working Memory Capacity Predicts Less Retrieval Induced Forgetting," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-7, January.
- Aki Kondo & Jun Saiki, 2012. "Feature-Specific Encoding Flexibility in Visual Working Memory," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
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