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Visual Cognition Volume 22, 2014 - Issue 8
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Original Articles

Probability of guessing, not precision, changes in mixture models of visual working memory during cognitive control of attentional guidance

Emma Wu DowdDepartment of Psychology and Neuroscience, Center for Cognitive Neuroscience, Duke University, Durham, NC, USACorrespondence[email protected]
,
Anastasia KiyonagaDepartment of Psychology and Neuroscience, Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
,
Jeffrey M. BeckDepartment of Psychology and Neuroscience, Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
&
Tobias EgnerDepartment of Psychology and Neuroscience, Center for Cognitive Neuroscience, Duke University, Durham, NC, USA
Pages 1027-1030 | Published online: 23 Sep 2014

REFERENCES

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  • Carlisle, N. B., & Woodman, G. F. (2011). Automatic and strategic effects in the guidance of attention by working memory representations. Acta Psychologica, 137, 217–225. doi:10.1016/j.actpsy.2010.06.012
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  • Suchow, J. W., Brady, T. F., Fougnie, D., & Alvarez, G. A. (2013). Modeling visual working memory with the MemToolbox. Journal of Vision, 13(10), 1–8. doi:10.1167/13.10.9
  • van den Berg, R., Awh, E., & Ma, W. J. (2014). Factorial comparison of working memory models. Psychological Review, 121(1), 124–149. doi:10.1037/a0035234
  • Zhang, W., & Luck, S. J. (2008). Discrete fixed-resolution representations in visual working memory. Nature, 453, 233–235. doi:10.1038/nature06860

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