Reference
- Averbach, E., & Coriell, A. S. (1961). Short-term memory in vision. Bell System Technical Journal, 40(1), 309–328. https://doi.org/10.1002/j.1538-7305.1961.tb03987.x
- Balaban, H., Fukuda, K., & Luria, R. (2019). What can half a million change detection trials tell us about visual working memory? Cognition, 191, 103984. https://doi.org/10.1016/j.cognition.2019.05.021
- Barton, B., Ester, E. F., & Awh, E. (2009). Discrete resource allocation in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 35(5), 1359–1367. https://doi.org/10.1037/a0015792
- Bays, P. M., Catalao, R. F., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 9(10), 7–11. https://doi.org/10.1167/9.10.7
- Bays, P. M., & Husain, M. (2008). Dynamic shifts of limited working memory resources in human vision. Science, 321(5890), 851–854. https://doi.org/10.1126/science.1158023
- Bays, P. M., Wu, E. Y., & Husain, M. (2011). Storage and binding of object features in visual working memory. Neuropsychologia, 49(6), 1622–1631. https://doi.org/10.1016/j.neuropsychologia.2010.12.023
- Becker, M. W., Miller, J. R., & Liu, T. (2013). A severe capacity limit in the consolidation of orientation information into visual short-term memory. Attention, Perception, & Psychophysics, 75(3), 415–425. https://doi.org/10.3758/s13414-012-0410-0
- Brockmole, J. R., Wang, R. F., & Irwin, D. E. (2002). Temporal integration between visual images and visual percepts. Journal of Experimental Psychology: Human Perception and Performance, 28(2), 315–334. https://doi.org/10.1037/0096-1523.28.2.315
- Coltheart, M. (1980). Iconic memory and visible persistence. Perception & Psychophysics, 27(3), 183–228. https://doi.org/10.3758/BF03204258
- Di Lollo, V., & Dixon, P. (1988). Two forms of persistence in visual information processing. Journal of Experimental Psychology: Human Perception and Performance, 14(4), 671–681. https://doi.org/10.1037/0096-1523.14.4.671
- Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G*power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
- Fenske, M. J., & Eastwood, J. D. (2003). Modulation of focused attention by faces expressing emotion: Evidence from flanker tasks. Emotion, 3(4), 327–343. https://doi.org/10.1037/1528-3542.3.4.327
- Figueira, J. S. B., Oliveira, L., Pereira, M. G., Pacheco, L. B., Lobo, I., Motta-Ribeiro, G. C., & David, I. A. (2017). An unpleasant emotional state reduces working memory capacity: Electrophysiological evidence. Social Cognitive and Affective Neuroscience, 12(6), 984–992. https://doi.org/10.1093/scan/nsx030
- Figueira, J. S. B., Pacheco, L. B., Lobo, I., Volchan, E., Pereira, M. G., de Oliveira, L., & David, I. A. (2018). “Keep that in mind!” The role of positive affect in working memory for maintaining goal-relevant information. Frontiers in Psychology, 9, 1228. https://doi.org/10.3389/fpsyg.2018.01228
- Finucane, A. M. (2011). The effect of fear and anger on selective attention. Emotion, 11(4), 970–974. https://doi.org/10.1037/a0022574
- Fukuda, K., Mance, I., & Vogel, E. K. (2015). Power modulation and event-related slow wave provide dissociable correlates of visual working memory. Journal of Neuroscience, 35(41), 14009–14016. https://doi.org/10.1523/Jneurosci.5003-14.2015
- Fukuda, K., Vogel, E., Mayr, U., & Awh, E. (2010). Quantity, not quality: The relationship between fluid intelligence and working memory capacity. Psychonomic Bulletin & Review, 17(5), 673–679. https://doi.org/10.3758/17.5.673
- Gao, Z., Yin, J., Xu, H., Shui, R., & Shen, M. (2011). Tracking object number or information load in visual working memory: Revisiting the cognitive implication of contralateral delay activity. Biological Psychology, 87(2), 296–302. https://doi.org/10.1016/j.biopsycho.2011.03.013
- Griffin, I. C., & Nobre, A. C. (2003). Orienting attention to locations in internal representations. Journal of Cognitive Neuroscience, 15(8), 1176–1194. https://doi.org/10.1162/089892903322598139
- Hao, R., Becker, M. W., Ye, C., Liu, Q., & Liu, T. (2018). The bandwidth of VWM consolidation varies with the stimulus feature: Evidence from event-related potentials. Journal of Experimental Psychology: Human Perception and Performance, 44(5), 767–777. https://doi.org/10.1037/xhp0000488
- Hardman, K. O., Vergauwe, E., & Ricker, T. J. (2017). Categorical working memory representations are used in delayed estimation of continuous colors. Journal of Experimental Psychology: Human Perception and Performance, 43(1), 30–54. https://doi.org/10.1037/xhp0000290
- He, X., Zhang, W., Li, C., & Guo, C. (2015). Precision requirements do not affect the allocation of visual working memory capacity. Brain Research, 1602, 136–143. https://doi.org/10.1016/j.brainres.2015.01.028
- Ikkai, A., McCollough, A. W., & Vogel, E. K. (2010). Contralateral delay activity provides a neural measure of the number of representations in visual working memory. Journal of Neurophysiology, 103(4), 1963–1968. https://doi.org/10.1152/jn.00978.2009
- Jackson, M. C., Linden, D. E. J., & Raymond, J. E. (2014). Angry expressions strengthen the encoding and maintenance of face identity representations in visual working memory. Cognition and Emotion, 28(2), 278–297. https://doi.org/10.1080/02699931.2013.816655
- Jackson, M. C., Wu, C. Y., Linden, D. E., & Raymond, J. E. (2009). Enhanced visual short-term memory for angry faces. Journal of Experimental Psychology: Human Perception and Performance, 35(2), 363–374. https://doi.org/10.1037/a0013895
- Landman, R., Spekreijse, H., & Lamme, V. A. (2003). Large capacity storage of integrated objects before change blindness. Vision Research, 43(2), 149–164. https://doi.org/10.1016/S0042-6989(02)00402-9
- Li, X., Chan, R. C., & Luo, Y. J. (2010). Stage effects of negative emotion on spatial and verbal working memory. BMC Neuroscience, 11(1), 60. https://doi.org/10.1186/1471-2202-11-60
- Linden, S. C., Jackson, M. C., Subramanian, L., Healy, D., & Linden, D. E. (2011). Sad benefit in face working memory: An emotional bias of melancholic depression. Journal of Affective Disorders, 135(1-3), 251–257. https://doi.org/10.1016/j.jad.2011.08.002
- Liu, T., & Becker, M. W. (2013). Serial consolidation of orientation information into visual short-term memory. Psychological Science, 24(6), 1044–1050. https://doi.org/10.1177/0956797612464381
- Luck, S. J., & Vogel, E. K. (1997). The capacity of visual working memory for features and conjunctions. Nature, 390(6657), 279–281. https://doi.org/10.1038/36846
- Luck, S. J., & Vogel, E. K. (2013). Visual working memory capacity: From psychophysics and neurobiology to individual differences. Trends in Cognitive Sciences, 17(8), 391–400. https://doi.org/10.1016/j.tics.2013.06.006
- Luria, R., Balaban, H., Awh, E., & Vogel, E. K. (2016). The contralateral delay activity as a neural measure of visual working memory. Neuroscience & Biobehavioral Reviews, 62, 100–108. https://doi.org/10.1016/j.neubiorev.2016.01.003
- Ma, W. J., Husain, M., & Bays, P. M. (2014). Changing concepts of working memory. Nature Neuroscience, 17(3), 347–356. https://doi.org/10.1038/nn.3655
- Machizawa, M. G., Goh, C. C., & Driver, J. (2012). Human visual short-term memory precision can be varied at will when the number of retained items is low. Psychological Science, 23(6), 554–559. https://doi.org/10.1177/0956797611431988
- Maljkovic, V., & Martini, P. (2005). Short-term memory for scenes with affective content. Journal of Vision, 5(3), 215–229. https://doi.org/10.1167/5.3.6
- Mance, I., Becker, M. W., & Liu, T. (2012). Parallel consolidation of simple features into visual short-term memory. Journal of Experimental Psychology: Human Perception and Performance, 38(2), 429–438. https://doi.org/10.1037/a0023925
- Miller, J. R., Becker, M. W., & Liu, T. (2014). The bandwidth of consolidation into visual short-term memory depends on the visual feature. Visual Cognition, 22(7), 920–947. https://doi.org/10.1080/13506285.2014.936923
- Niklaus, M., Nobre, A. C., & van Ede, F. (2017). Feature-based attentional weighting and spreading in visual working memory. Scientific Reports, 7(1), 42384. https://doi.org/10.1038/srep42384
- Phelps, E. A., Ling, S., & Carrasco, M. (2006). Emotion facilitates perception and potentiates the perceptual benefits of attention. Psychological Science, 17(4), 292–299. https://doi.org/10.1111/j.1467-9280.2006.01701.x
- Rideaux, R., Apthorp, D., & Edwards, M. (2015). Evidence for parallel consolidation of motion direction and orientation into visual short-term memory. Journal of Vision, 15(2), 1–12. https://doi.org/10.1167/15.2.17.
- Rideaux, R., & Edwards, M. (2016). The cost of parallel consolidation into visual working memory. Journal of Vision, 16(6), 1–14. https://doi.org/10.1167/16.6.1.
- Sessa, P., Luria, R., Gotler, A., Jolicoeur, P., & Dell’Acqua, R. (2011). Interhemispheric ERP asymmetries over inferior parietal cortex reveal differential visual working memory maintenance for fearful versus neutral facial identities. Psychophysiology, 48(2), 187–197. https://doi.org/10.1111/j.1469-8986.2010.01046.x
- Spachtholz, P., Kuhbandner, C., & Pekrun, R. (2014). Negative affect improves the quality of memories: Trading capacity for precision in sensory and working memory. Journal of Experimental Psychology: General, 143(4), 1450–1456. https://doi.org/10.1037/xge0000012
- Spies, K., Hesse, F., & Hummitzsch, C. (1996). Mood and capacity in Baddeley’s model of human memory. Zeitschrift für Psychologie mit Zeitschrift für angewandte Psychologie, 204, 367–381.
- Suchow, J. W., Brady, T. F., Fougnie, D., & Alvarez, G. A. (2013). Modeling visual working memory with the MemToolbox. Journal of Vision, 13(10). https://doi.org/10.1167/13.10.9
- Suchow, J. W., Fougnie, D., Brady, T. F., & Alvarez, G. A. (2014). Terms of the debate on the format and structure of visual memory. Attention, Perception, & Psychophysics, 76(7), 2071–2079. https://doi.org/10.3758/s13414-014-0690-7
- Thalheimer, W., & Cook, S. (2002). How to calculate effect sizes from published research: A simplified methodology. Work-Learning Research, 1, 1–9.
- Vogel, E. K., & Machizawa, M. G. (2004). Neural activity predicts individual differences in visual working memory capacity. Nature, 428(6984), 748–751. https://doi.org/10.1038/nature02447
- Vogel, E. K., Woodman, G. F., & Luck, S. J. (2001). Storage of features, conjunctions and objects in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 27(1), 92–114. https://doi.org/10.1037/0096-1523.27.1.92
- Vogel, E. K., Woodman, G. F., & Luck, S. J. (2006). The time course of consolidation in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 32(6), 1436–1451. https://doi.org/10.1037/0096-1523.32.6.1436
- Wilken, P., & Ma, W. J. (2004). A detection theory account of change detection. Journal of Vision, 4(12), 1120–1135. https://doi.org/10:1167/4.12.11
- Xie, W., & Zhang, W. (2016). Negative emotion Boosts quality of visual working memory representation. Emotion, 16(5), 760–774. https://doi.org/10.1037/emo0000159
- Xie, W., & Zhang, W. (2017). Negative emotion enhances mnemonic precision and subjective feelings of remembering in visual long-term memory. Cognition, 166, 73–83. https://doi.org/10.1016/j.cognition.2017.05.025
- Ye, C., Hu, Z., Li, H., Ristaniemi, T., Liu, Q., & Liu, T. (2017). A two-phase model of resource allocation in visual working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(10), 1557–1566. https://doi.org/10.1037/xlm0000376
- Ye, C., Hu, Z., Ristaniemi, T., Gendron, M., & Liu, Q. (2016). Retro-dimension-cue benefit in visual working memory. Scientific Reports, 6(1), Article 35573. https://doi.org/10.1038/srep35573
- Ye, C., Sun, H. J., Xu, Q., Liang, T., Zhang, Y., & Liu, Q. (2019). Working memory capacity affects trade-off between quality and quantity only when stimulus exposure duration is sufficient: Evidence for the two-phase model. Scientific Reports, 9(1), 8727. https://doi.org/10.1038/s41598-019-44998-3
- Ye, C., Xu, Q., Liu, Q., Cong, F., Saariluoma, P., Ristaniemi, T., & Astikainen, P. (2018). The impact of visual working memory capacity on the filtering efficiency of emotional face distractors. Biological Psychology, 138, 63–72. https://doi.org/10.1016/j.biopsycho.2018.08.009
- Ye, C., Zhang, L., Liu, T., Li, H., & Liu, Q. (2014). Visual working memory capacity for color is independent of representation resolution. PLoS One, 9(3), e91681. https://doi.org/10.1371/journal.pone.0091681
- Zhang, W., & Luck, S. J. (2008). Discrete fixed-resolution representations in visual working memory. Nature, 453(7192), 233–235. https://doi.org/10.1038/nature06860
- Zhang, Y., Ye, C., Roberson, D., Zhao, G., Xue, C., & Liu, Q. (2018). The bilateral field advantage effect in memory precision. Quarterly Journal of Experimental Psychology, 71(3), 749–758. https://doi.org/10.1080/17470218.2016.1276943
- Zhang, Y., Zhang, G., & Liu, B. (2017). Investigation of the influence of emotions on working memory capacity using ERP and ERSP. Neuroscience, 357, 338–348. https://doi.org/10.1016/j.neuroscience.2017.06.016