Phân bổ tài nguyên trong bộ nhớ làm việc: Những hệ quả lý thuyết và thực nghiệm cho quá trình tìm kiếm thị giác

Alvarez, G. A., & Cavanagh, P. (2004). The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychological Science, 15(2), 106-111. https://doi.org/10.1111/j.0963-7214.2004.01502006.x Ansorge, U., Horstmann, G., & Carbone, E. (2005). Top-down contingent capture by color: Evidence from RT distribution analyses in a manual choice reaction task. Acta Psychologica, 120(3), 243-266. https://doi.org/10.1016/j.actpsy.2005.04.004 Awh, E., & Vogel, E. K. (2008). The bouncer in the brain. Nature Neuroscience, 11(1), 5-6. https://doi.org/10.1038/nn0108-5 Awh, E., Vogel, E. K., & Oh, S. H. (2006). Interactions between attention and working memory. Neuroscience, 139(1), 201-208. https://doi.org/10.1016/j.neuroscience.2005.08.023 Bacon, W. F., & Egeth, H. E. (1994). Overriding stimulus-driven attentional capture. Perception & Psychophysics, 55(5), 485-496. https://doi.org/10.3758/BF03205306 Baddeley, A. (2010). Working memory. Current Biology, 20(4), R136-R140. https://doi.org/10.1016/j.cub.2009.12.014 Baddeley, A., & Hitch, G. (1974). Working memory. In G. H. Bower (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 8, pp. 47-89). Elsevier Academic Press. https://doi.org/10.1016/S0079-7421(08)60452-1 Bahle, B., Beck, V. M., & Hollingworth, A. (2018). The architecture of interaction between visual working memory and visual attention. Journal of Experimental Psychology: Human Perception and Performance, 44(7), 992-1011. https://doi.org/10.1037/xhp0000509 Bahle, B., Thayer, D. D., Mordkoff, J. T., & Hollingworth, A. (2020). The architecture of working memory: Features from multiple remembered objects produce parallel, coactive guidance of attention in visual search. Journal of Experimental Psychology: General, 149(5), 967-983. https://doi.org/10.1037/xge0000694 Barrett, D. J. K., & Zobay, O. (2014). Attentional control via parallel target-templates in dual-target search. PLoS One, 9(1), e86848. https://doi.org/10.1371/journal.pone.0086848 Barrouillet, P., Bernardin, S., & Camos, V. (2004). Time constraints and resource sharing in adults' working memory spans. Journal of Experimental Psychology: General, 133(1), 83-100. https://doi.org/10.1037/0096-3445.133.1.83 Barrouillet, P., & Camos, V. (2007). The time-based resource-sharing model of working memory. In N. Osaka (Ed.), The Cognitive Neuroscience of Working Memory (pp. 59-80). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198570394.003.0004 Bays, P. M., Catalao, R. F. G., & Husain, M. (2009). The precision of visual working memory is set by allocation of a shared resource. Journal of Vision, 9(10), 7. https://doi.org/10.1167/9.10.7 Bays, P. M., Gorgoraptis, N., Wee, N., Marshall, L., & Husain, M. (2011). Temporal dynamics of encoding, storage, and reallocation of visual working memory. Journal of Vision, 11(10), 6. https://doi.org/10.1167/11.10.6 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 Beck, V. M., & Hollingworth, A. (2017). Competition in saccade target selection reveals attentional guidance by simultaneously active working memory representations. Journal of Experimental Psychology: Human Perception and Performance, 43(2), 225-230. https://doi.org/10.1037/xhp0000306 Beck, V. M., Hollingworth, A., & Luck, S. J. (2012). Simultaneous control of attention by multiple working memory representations. Psychological Science, 23(8), 887-898. https://doi.org/10.1177/0956797612439068 Berggren, N., Nako, R., & Eimer, M. (2020). Out with the old: New target templates impair the guidance of visual search by preexisting task goals. Journal of Experimental Psychology: General, 149(6), 1156-1168. https://doi.org/10.1037/xge0000697 Biderman, D., Biderman, N., Zivony, A., & Lamy, D. (2017). Contingent capture is weakened in search for multiple features from different dimensions. Journal of Experimental Psychology: Human Perception and Performance, 43(12), 1974-1992. https://doi.org/10.1037/xhp0000422 Bravo, M. J., & Farid, H. (2009). The specificity of the search template. Journal of Vision, 9(1), 34. https://doi.org/10.1167/9.1.34 Bravo, M. J., & Farid, H. (2014). Informative cues can slow search: The cost of matching a specific template. Attention, Perception, & Psychophysics, 76(1), 32-39. https://doi.org/10.3758/s13414-013-0532-z Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97(4), 523-547. https://doi.org/10.1037/0033-295X.97.4.523 Bundesen, C., Habekost, T., & Kyllingsbæk, S. (2005). A neural theory of visual attention: Bridging cognition and neurophysiology. Psychological Review, 112(2), 291-328. https://doi.org/10.1037/0033-295X.112.2.291 Cantor, J., & Engle, R. W. (1993). Working-memory capacity as long-term memory activation: An individual-differences approach. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19(5), 1101-1114. https://doi.org/10.1037/0278-7393.19.5.1101 Carlisle, N. B., Arita, J. T., Pardo, D., & Woodman, G. F. (2011). Attentional templates in visual working memory. The Journal of Neuroscience, 31(25), 9315-9322. https://doi.org/10.1523/JNEUROSCI.1097-11.2011 Carlisle, N. B., & Woodman, G. F. (2011). When memory is not enough: Electrophysiological evidence for goal-dependent use of working memory representations in guiding visual attention. Journal of Cognitive Neuroscience, 23(10), 2650-2664. https://doi.org/10.1162/jocn.2011.21602 Carlisle, N. B., & Woodman, G. F. (2019). Quantifying the attentional impact of working memory matching targets and distractors. Visual Cognition, 27(5-8), 452-466. https://doi.org/10.1080/13506285.2019.1634172 Castelhano, M. S., Pollatsek, A., & Cave, K. R. (2008). Typicality aids search for an unspecified target, but only in identification and not in attentional guidance. Psychonomic Bulletin & Review, 15(4), 795-801. https://doi.org/10.3758/PBR.15.4.795 Chen, Y., & Du, F. (2017). Two visual working memory representations simultaneously control attention. Scientific Reports, 7(1), 6107. https://doi.org/10.1038/s41598-017-05865-1 Christie, G. J., Livingstone, A. C., & McDonald, J. J. (2014). Searching for inefficiency in visual search. Journal of Cognitive Neuroscience, 27(1), 46-56. https://doi.org/10.1162/jocn_a_00716 Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J.-D. (2017). The distributed nature of working memory. Trends in Cognitive Sciences, 21(2), 111-124. https://doi.org/10.1016/j.tics.2016.12.007 Chun, M. M. (2011). Visual working memory as visual attention sustained internally over time. Neuropsychologia, 49(6), 1407-1409. https://doi.org/10.1016/j.neuropsychologia.2011.01.029 Cowan, N. (1999). An embedded-processes model of working memory. In A. Miyake & P. Shah (Eds.), Models of working memory: Mechanisms of active maintenance and executive control (pp. 62-101). Cambridge University Press. https://doi.org/10.1017/CBO9781139174909.006 Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87-114. https://doi.org/10.1017/S0140525X01003922 Cowan, N. (2005). Working memory capacity. Psychology Press. https://doi.org/10.4324/9780203342398 Cowan, N. (2017). The many faces of working memory and short-term storage. Psychonomic Bulletin & Review, 24(4), 1158-1170. https://doi.org/10.3758/s13423-016-1191-6 Cowan, N., Donnell, K., & Saults, J. S. (2013). A list-length constraint on incidental item-to-item associations. Psychonomic Bulletin & Review, 20(6), 1253-1258. https://doi.org/10.3758/s13423-013-0447-7 Cowan, N., & Morey, C. C. (2006). Visual working memory depends on attentional filtering. Trends in Cognitive Sciences, 10(4), 139-141. https://doi.org/10.1016/j.tics.2006.02.001 Cunningham, C. A., & Wolfe, J. M. (2014). The role of object categories in hybrid visual and memory search. Journal of Experimental Psychology: General, 143(4), 1585-1599. https://doi.org/10.1037/a0036313 Cusack, R., Lehmann, M., Veldsman, M., & Mitchell, D. J. (2009). Encoding strategy and not visual working memory capacity correlates with intelligence. Psychonomic Bulletin & Review, 16(4), 641-647. https://doi.org/10.3758/PBR.16.4.641 D'Esposito, M., & Postle, B. R. (2015). The cognitive neuroscience of working memory. Annual Review of Psychology, 66(1), 115-142. https://doi.org/10.1146/annurev-psych-010814-015031 de Vries, I. E. J., Slagter, H. A., & Olivers, C. N. L. (2020). Oscillatory Control over Representational States in Working Memory. Trends in Cognitive Sciences, 24(2), 150-162. https://doi.org/10.1016/j.tics.2019.11.006 de Vries, I. E. J., van Driel, J., Karacaoglu, M., & Olivers, C. N. L. (2018). Priority Switches in Visual Working Memory are Supported by Frontal Delta and Posterior Alpha Interactions. Cerebral Cortex, 28(11), 4090-4104. https://doi.org/10.1093/cercor/bhy223 de Vries, I. E. J., van Driel, J., & Olivers, C. N. L. (2017). Posterior α EEG dynamics dissociate current from future goals in working memory-guided visual search. The Journal of Neuroscience, 37(6), 1591-1603. https://doi.org/10.1523/JNEUROSCI.2945-16.2016 de Vries, I. E. J., van Driel, J., & Olivers, C. N. L. (2019). Decoding the status of working memory representations in preparation of visual selection. NeuroImage, 191, 549-559. https://doi.org/10.1016/j.neuroimage.2019.02.069 Desimone, R., & Duncan, J. (1995). Neural mechanisms of selective visual attention. Annual Review of Neuroscience, 18(1), 193-222. https://doi.org/10.1146/annurev.ne.18.030195.001205 Dombrowe, I., Donk, M., & Olivers, C. N. L. (2011). The costs of switching attentional sets. Attention, Perception, & Psychophysics, 73(8), 2481-2488. https://doi.org/10.3758/s13414-011-0198-3 Downing, P. E., & Dodds, C. (2004). Competition in visual working memory for control of search. Visual Cognition, 11(6), 689-703. https://doi.org/10.1080/13506280344000446 Dube, B., & Al-Aidroos, N. (2019). Distinct prioritization of visual working memory representations for search and for recall. Attention, Perception, & Psychophysics, 81(5), 1253-1261. https://doi.org/10.3758/s13414-018-01664-6 Dube, B., Emrich, S. M., & Al-Aidroos, N. (2017). More than a filter: Feature-based attention regulates the distribution of visual working memory resources. Journal of Experimental Psychology: Human Perception and Performance, 43(10), 1843-1854. https://doi.org/10.1037/xhp0000428 Dube, B., Lockhart, H. A., Rak, S., Emrich, S., & Al-Aidroos, N. (2019a). Limits to the flexible re-distribution of visual working memory resources after encoding. PsyArXiv. https://doi.org/10.31234/osf.io/kmqtr Dube, B., Lumsden, A., & Al-Aidroos, N. (2019b). Probabilistic retro-cues do not determine state in visual working memory. Psychonomic Bulletin & Review, 26(2), 641-646. https://doi.org/10.3758/s13423-018-1533-7 Duncan, J., & Humphreys, G. W. (1989). Visual search and stimulus similarity. Psychological Review, 96(3), 433-458. https://doi.org/10.1037/0033-295X.96.3.433 Eimer, M. (1996). The N2pc component as an indicator of attentional selectivity. Electroencephalography and Clinical Neurophysiology, 99(3), 225-234. https://doi.org/10.1016/0013-4694(96)95711-9 Eimer, M. (2014). The neural basis of attentional control in visual search. Trends in Cognitive Sciences, 18(10), 526-535. https://doi.org/10.1016/j.tics.2014.05.005 Eimer, M., & Kiss, M. (2008). Involuntary attentional capture is determined by task set: Evidence from event-related brain potentials. Journal of Cognitive Neuroscience, 20(8), 1423-1433. https://doi.org/10.1162/jocn.2008.20099 Emrich, S. M., Lockhart, H. A., & Al-Aidroos, N. (2017). Attention mediates the flexible allocation of visual working memory resources. Journal of Experimental Psychology: Human Perception and Performance, 43(7), 1454-1465. https://doi.org/10.1037/xhp0000398 Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 19-23. https://doi.org/10.1111/1467-8721.00160 Engle, R. W. (2018). Working memory and executive attention: A revisit. Perspectives on Psychological Science, 13(2), 190-193. https://doi.org/10.1177/1745691617720478 Fan, L., Sun, M., Xu, M., Li, Z., Diao, L., & Zhang, X. (2019). Multiple representations in visual working memory simultaneously guide attention: The type of memory-matching representation matters. Acta Psychologica, 192, 126-137. https://doi.org/10.1016/j.actpsy.2018.11.005 Foerster, R. M., & Schneider, W. X. (2018). Involuntary top-down control by search-irrelevant features: Visual working memory biases attention in an object-based manner. Cognition, 172, 37-45. https://doi.org/10.1016/j.cognition.2017.12.002 Folk, C. L., & Remington, R. (1998). Selectivity in distraction by irrelevant featural singletons: Evidence for two forms of attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 24(3), 847-858. https://doi.org/10.1037/0096-1523.24.3.847 Folk, C. L., Remington, R. W., & Johnston, J. C. (1992). Involuntary covert orienting is contingent on attentional control settings. Journal of Experimental Psychology: Human Perception and Performance, 18(4), 1030-1044. https://doi.org/10.1037/0096-1523.18.4.1030 Fougnie, D., Suchow, J. W., & Alvarez, G. A. (2012). Variability in the quality of visual working memory. Nature Communications, 3(1), 1229. https://doi.org/10.1038/ncomms2237 Franconeri, S. L., Alvarez, G. A., & Cavanagh, P. (2013). Flexible cognitive resources: Competitive content maps for attention and memory. Trends in Cognitive Sciences, 17(3), 134-141. https://doi.org/10.1016/j.tics.2013.01.010 Frătescu, M., Van Moorselaar, D., & Mathôt, S. (2019). Can you have multiple attentional templates? Large-scale replications of Van Moorselaar, Theeuwes, and Olivers (2014) and Hollingworth and Beck (2016). Attention, Perception, & Psychophysics, 81(8), 2700-2709. https://doi.org/10.3758/s13414-019-01791-8 Fukuda, K., & Woodman, G. F. (2017). Visual working memory buffers information retrieved from visual long-term memory. Proceedings of the National Academy of Sciences of the United States of America, 114(20), 5306-5311. https://doi.org/10.1073/pnas.1617874114 Gao, Z., Yu, S., Zhu, C., Shui, R., Weng, X., Li, P., & Shen, M. (2016). Object-based encoding in visual working memory: Evidence from memory-driven attentional capture. Scientific Reports, 6(1), 22822. https://doi.org/10.1038/srep22822 Gazzaley, A. (2011). Influence of early attentional modulation on working memory. Neuropsychologia, 49(6), 1410-1424. https://doi.org/10.1016/j.neuropsychologia.2010.12.022 Gazzaley, A., & Nobre, A. C. (2012). Top-down modulation: Bridging selective attention and working memory. Trends in Cognitive Sciences, 16(2), 129-135. https://doi.org/10.1016/j.tics.2011.11.014 Gilchrist, A. L., & Cowan, N. (2011). Can the focus of attention accommodate multiple, separate items? Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(6), 1484-1502. https://doi.org/10.1037/a0024352 Gorgoraptis, N., Catalao, R. F. G., Bays, P. M., & Husain, M. (2011). Dynamic updating of working memory resources for visual objects. The Journal of Neuroscience, 31(23), 8502-8511. https://doi.org/10.1523/JNEUROSCI.0208-11.2011 Grubert, A., Carlisle, N. B., & Eimer, M. (2016). The control of single-color and multiple-color visual search by attentional templates in working memory and in long-term memory. Journal of Cognitive Neuroscience, 28(12), 1947-1963. https://doi.org/10.1162/jocn_a_01020 Grubert, A., & Eimer, M. (2015). Rapid parallel attentional target selection in single-color and multiple-color visual search. Journal of Experimental Psychology: Human Perception and Performance, 41(1), 86-101. https://doi.org/10.1037/xhp0000019 Grubert, A., & Eimer, M. (2016). All set, indeed! N2pc components reveal simultaneous attentional control settings for multiple target colors. Journal of Experimental Psychology: Human Perception and Performance, 42(8), 1215-1230. https://doi.org/10.1037/xhp0000221 Grubert, A., & Eimer, M. (2018). The time course of target template activation processes during preparation for visual search. The Journal of Neuroscience, 38(44), 9527-9538. https://doi.org/10.1523/JNEUROSCI.0409-18.2018 Grubert, A., & Eimer, M. (2020). Preparatory template activation during search for alternating targets. Journal of Cognitive Neuroscience, 32(8), 1525-1535. https://doi.org/10.1162/jocn_a_01565 Gunseli, E., Olivers, C. N. L., & Meeter, M. (2014). Effects of search difficulty on the selection, maintenance, and learning of attentional templates. Journal of Cognitive Neuroscience, 26(9), 2042-2054. https://doi.org/10.1162/jocn_a_00600 Gunseli, E., Olivers, C. N. L., & Meeter, M. (2016). Task-irrelevant memories rapidly gain attentional control with learning. Journal of Experimental Psychology: Human Perception and Performance, 42(3), 354-362. https://doi.org/10.1037/xhp0000134 Hamblin-Frohman, Z., & Becker, S. I. (2019). Attending object features interferes with visual working memory regardless of eye-movements. Journal of Experimental Psychology: Human Perception and Performance, 45(8), 1049-1061. https://doi.org/10.1037/xhp0000651 Hollingworth, A., & Beck, V. M. (2016). Memory-based attention capture when multiple items are maintained in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 42(7), 911-917. https://doi.org/10.1037/xhp0000230 Hollingworth, A., & Hwang, S. (2013). The relationship between visual working memory and attention: Retention of precise colour information in the absence of effects on perceptual selection. Philosophical Transactions of the Royal Society of London: Series B, Biological Sciences, 368(1628), 20130061. https://doi.org/10.1098/rstb.2013.0061 Hout, M. C., & Goldinger, S. D. (2015). Target templates: The precision of mental representations affects attentional guidance and decision-making in visual search. Attention, Perception, & Psychophysics, 77(1), 128-149. https://doi.org/10.3758/s13414-014-0764-6 Houtkamp, R., & Roelfsema, P. R. (2006). The effect of items in working memory on the deployment of attention and the eyes during visual search. Journal of Experimental Psychology: Human Perception and Performance, 32(2), 423-442. https://doi.org/10.1037/0096-1523.32.2.423 Houtkamp, R., & Roelfsema, P. R. (2009). Matching of visual input to only one item at any one time. Psychological Research, 73(3), 317-326. https://doi.org/10.1007/s00426-008-0157-3 Huang, L., & Pashler, H. (2007). Working memory and the guidance of visual attention: Consonance-driven orienting. Psychonomic Bulletin & Review, 14(1), 148-153. https://doi.org/10.3758/BF03194042 Huynh Cong, S., & Kerzel, D. (2020). New templates interfere with existing templates depending on their respective priority in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 46(11), 1313-1327. https://doi.org/10.1037/xhp0000859 Irons, J. L., Folk, C. L., & Remington, R. W. (2012). All set! Evidence of simultaneous attentional control settings for multiple target colors. Journal of Experimental Psychology: Human Perception and Performance, 38(3), 758-775. https://doi.org/10.1037/a0026578 Jenkins, M., Grubert, A., & Eimer, M. (2018). Category-based attentional guidance can operate in parallel for multiple target objects. Biological Psychology, 135, 211-219. https://doi.org/10.1016/j.biopsycho.2018.04.006 Jost, K., & Mayr, U. (2016). Switching between filter settings reduces the efficient utilization of visual working memory. Cognitive, Affective, & Behavioral Neuroscience, 16(2), 207-218. https://doi.org/10.3758/s13415-015-0380-5 Kane, M. J., Bleckley, M. K., Conway, A. R. A., & Engle, R. W. (2001). A controlled-attention view of working-memory capacity. Journal of Experimental Psychology: General, 130(2), 169-183. https://doi.org/10.1037/0096-3445.130.2.169 Kane, M. J., & Engle, R. W. (2000). Working-memory capacity, proactive interference, and divided attention: Limits on long-term memory retrieval. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26(2), 336-358. https://doi.org/10.1037/0278-7393.26.2.336 Kerzel, D. (2019). The precision of attentional selection is far worse than the precision of the underlying memory representation. Cognition, 186, 20-31. https://doi.org/10.1016/j.cognition.2019.02.001 Kerzel, D., & Andres, M. K.-S. (2020). Object features reinstated from episodic memory guide attentional selection. Cognition, 197, 104158. https://doi.org/10.1016/j.cognition.2019.104158 Kerzel, D., & Witzel, C. (2019). The allocation of resources in visual working memory and multiple attentional templates. Journal of Experimental Psychology: Human Perception and Performance, 45(5), 645-658. https://doi.org/10.1037/xhp0000637 Keshvari, S., van den Berg, R., & Ma, W. J. (2013). No evidence for an item limit in change detection. PLoS Computational Biology, 9(2), e1002927. https://doi.org/10.1371/journal.pcbi.1002927 Kim, S., & Cho, Y. S. (2016). Memory-based attentional capture by colour and shape contents in visual working memory. Visual Cognition, 24(1), 51-62. https://doi.org/10.1080/13506285.2016.1184734 Kiyonaga, A., & Egner, T. (2013). Working memory as internal attention: Toward an integrative account of internal and external selection processes. Psychonomic Bulletin & Review, 20(2), 228-242. https://doi.org/10.3758/s13423-012-0359-y Kristjánsson, T., & Kristjánsson, Á. (2018). Foraging through multiple target categories reveals the flexibility of visual working memory. Acta Psychologica, 183, 108-115. https://doi.org/10.1016/j.actpsy.2017.12.005 Kumar, S., Soto, D., & Humphreys, G. W. (2009). Electrophysiological evidence for attentional guidance by the contents of working memory. European Journal of Neuroscience, 30(2), 307-317. https://doi.org/10.1111/j.1460-9568.2009.06805.x Kuo, B.-C., Yeh, Y.-Y., Chen, A. J. W., & D’Esposito, M. (2011). Functional connectivity during top-down modulation of visual short-term memory representations. Neuropsychologia, 49(6), 1589-1596. https://doi.org/10.1016/j.neuropsychologia.2010.12.043 Landman, R., Spekreijse, H., & Lamme, V. A. F. (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 Leblanc, É., Prime, D. J., & Jolicoeur, P. (2007). Tracking the location of visuospatial attention in a contingent capture paradigm. Journal of Cognitive Neuroscience, 20(4), 657-671. https://doi.org/10.1162/jocn.2008.20051 Lee, E.-Y., Cowan, N., Vogel, E. K., Rolan, T., Valle-Inclán, F., & Hackley, S. A. (2010). Visual working memory deficits in patients with Parkinson's disease are due to both reduced storage capacity and impaired ability to filter out irrelevant information. Brain, 133(9), 2677-2689. https://doi.org/10.1093/brain/awq197 Lepsien, J., Thornton, I., & Nobre, A. C. (2011). Modulation of working-memory maintenance by directed attention. Neuropsychologia, 49(6), 1569-1577. https://doi.org/10.1016/j.neuropsychologia.2011.03.011 Lien, M.-C., Ruthruff, E., Goodin, Z., & Remington, R. W. (2008). Contingent attentional capture by top-down control settings: Converging evidence from event-related potentials. Journal of Experimental Psychology: Human Perception and Performance, 34(3), 509-530. https://doi.org/10.1037/0096-1523.34.3.509 Liesefeld, A. M., Liesefeld, H. R., & Zimmer, H. D. (2013). Intercommunication between prefrontal and posterior brain regions for protecting visual working memory from distractor interference. Psychological Science, 25(2), 325-333. https://doi.org/10.1177/0956797613501170 Logan, G. D. (2002). An instance theory of attention and memory. Psychological Review, 109(2), 376-400. https://doi.org/10.1037/0033-295X.109.2.376 Luck, S. J., & Hillyard, S. A. (1994). Electrophysiological correlates of feature analysis during visual search. Psychophysiology, 31(3), 291-308. https://doi.org/10.1111/j.1469-8986.1994.tb02218.x 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 and Biobehavioral Reviews, 62, 100-108. https://doi.org/10.1016/j.neubiorev.2016.01.003 Luria, R., Sessa, P., Gotler, A., Jolicœur, P., & Dell'Acqua, R. (2009). Visual short-term memory capacity for simple and complex objects. Journal of Cognitive Neuroscience, 22(3), 496-512. https://doi.org/10.1162/jocn.2009.21214 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. W., & 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 Makovski, T., & Jiang, Y. V. (2007). Distributing versus focusing attention in visual short-term memory. Psychonomic Bulletin & Review, 14(6), 1072-1078. https://doi.org/10.3758/BF03193093 Malcolm, G. L., & Henderson, J. M. (2009). The effects of target template specificity on visual search in real-world scenes: Evidence from eye movements. Journal of Vision, 9(11), 8. https://doi.org/10.1167/9.11.8 Malcolm, G. L., & Henderson, J. M. (2010). Combining top-down processes to guide eye movements during real-world scene search. Journal of Vision, 10(2), 4. https://doi.org/10.1167/10.2.4 Matsukura, M., Luck, S. J., & Vecera, S. P. (2007). Attention effects during visual short-term memory maintenance: Protection or prioritization? Perception & Psychophysics, 69(8), 1422-1434. https://doi.org/10.3758/BF03192957 Maxcey-Richard, A. M., & Hollingworth, A. (2013). The strategic retention of task-relevant objects in visual working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(3), 760-772. https://doi.org/10.1037/a0029496 McElree, B. (2001). Working memory and focal attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27(3), 817-835. https://doi.org/10.1037/0278-7393.27.3.817 McElree, B. (2006). Accessing recent events. In B. H. Ross (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 46, pp. 155-200). Elsevier Academic Press. https://doi.org/10.1016/S0079-7421(06)46005-9 McNab, F., & Klingberg, T. (2008). Prefrontal cortex and basal ganglia control access to working memory. Nature Neuroscience, 11(1), 103-107. https://doi.org/10.1038/nn2024 Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24(1), 167-202. https://doi.org/10.1146/annurev.neuro.24.1.167 Moore, K. S., & Weissman, D. H. (2010). Involuntary transfer of a top-down attentional set into the focus of attention: Evidence from a contingent attentional capture paradigm. Attention, Perception, & Psychophysics, 72(6), 1495-1509. https://doi.org/10.3758/APP.72.6.1495 Moran, J., & Desimone, R. (1985). Selective attention gates visual processing in the extrastriate cortex. Science, 229(4715), 782-784. https://doi.org/10.1126/science.4023713 Motter, B. C. (1994). Neural correlates of attentive selection for color or luminance in extrastriate area V4. The Journal of Neuroscience, 14(4), 2178-2189. https://doi.org/10.1523/JNEUROSCI.14-04-02178.1994 Murray, A. M., Nobre, A. C., & Stokes, M. G. (2011). Markers of preparatory attention predict visual short-term memory performance. Neuropsychologia, 49(6), 1458-1465. https://doi.org/10.1016/j.neuropsychologia.2011.02.016 Myers, N. E., Stokes, M. G., & Nobre, A. C. (2017). Prioritizing information during working memory: Beyond sustained internal attention. Trends in Cognitive Sciences, 21(6), 449-461. https://doi.org/10.1016/j.tics.2017.03.010 Myers, N. E., Walther, L., Wallis, G., Stokes, M. G., & Nobre, A. C. (2015). Temporal dynamics of attention during encoding versus maintenance of working memory: Complementary views from event-related potentials and alpha-band oscillations. Journal of Cognitive Neuroscience, 27(3), 492-508. https://doi.org/10.1162/jocn_a_00727 Nairne, J. S., & Neath, I. (2001). Long-term memory span. Behavioral and Brain Sciences, 24(1), 134-135. https://doi.org/10.1017/S0140525X01433929 Nako, R., Wu, R., & Eimer, M. (2014a). Rapid guidance of visual search by object categories. Journal of Experimental Psychology: Human Perception and Performance, 40(1), 50-60. https://doi.org/10.1037/a0033228 Nako, R., Wu, R., Smith, T. J., & Eimer, M. (2014b). Item and category-based attentional control during search for real-world objects: Can you find the pants among the pans? Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1283-1288. https://doi.org/10.1037/a0036885 Nobre, A., Griffin, I., & Rao, A. (2008). Spatial attention can bias search in visual short-term memory. Frontiers in Human Neuroscience, 2, 4. https://doi.org/10.3389/neuro.09.004.2007 Oberauer, K. (2002). Access to information in working memory: Exploring the focus of attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28(3), 411-421. https://doi.org/10.1037/0278-7393.28.3.411 Oberauer, K. (2009). Design for a working memory. In B. H. Ross (Ed.), The psychology of learning and motivation: Advances in research and theory (Vol. 51, pp. 45-100). Elsevier Academic Press. https://doi.org/10.1016/S0079-7421(09)51002-X Oberauer, K. (2019). Working Memory and Attention - A Conceptual Analysis and Review. Journal of Cognition, 2(1), 36. https://doi.org/10.5334/joc.58 Oberauer, K., & Bialkova, S. (2011). Serial and parallel processes in working memory after practice. Journal of Experimental Psychology: Human Perception and Performance, 37(2), 606-614. https://doi.org/10.1037/a0020986 Oberauer, K., & Hein, L. (2012). Attention to information in working memory. Current Directions in Psychological Science, 21(3), 164-169. https://doi.org/10.1177/0963721412444727 Oberauer, K., Lewandowsky, S., Farrell, S., Jarrold, C., & Greaves, M. (2012). Modeling working memory: An interference model of complex span. Psychonomic Bulletin & Review, 19(5), 779-819. https://doi.org/10.3758/s13423-012-0272-4 Oberauer, K., & Lin, H.-Y. (2017). An interference model of visual working memory. Psychological Review, 124(1), 21-59. https://doi.org/10.1037/rev0000044 Olivers, C. N. L. (2009). What drives memory-driven attentional capture? The effects of memory type, display type, and search type. Journal of Experimental Psychology: Human Perception and Performance, 35(5), 1275-1291. https://doi.org/10.1037/a0013896 Olivers, C. N. L., & Eimer, M. (2011). On the difference between working memory and attentional set. Neuropsychologia, 49(6), 1553-1558. https://doi.org/10.1016/j.neuropsychologia.2010.11.033 Olivers, C. N. L., Meijer, F., & Theeuwes, J. (2006). Feature-based memory-driven attentional capture: Visual working memory content affects visual attention. Journal of Experimental Psychology: Human Perception and Performance, 32(5), 1243-1265. https://doi.org/10.1037/0096-1523.32.5.1243 Olivers, C. N. L., Peters, J., Houtkamp, R., & Roelfsema, P. R. (2011). Different states in visual working memory: When it guides attention and when it does not. Trends in Cognitive Sciences, 15(7), 327-334. https://doi.org/10.1016/j.tics.2011.05.004 Ort, E., Fahrenfort, J. J., & Olivers, C. N. L. (2017). Lack of free choice reveals the cost of having to search for more than one object. Psychological Science, 28(8), 1137-1147. https://doi.org/10.1177/0956797617705667 Ort, E., Fahrenfort, J. J., & Olivers, C. N. L. (2018). Lack of free choice reveals the cost of multiple-target search within and across feature dimensions. Attention, Perception, & Psychophysics, 80(8), 1904-1917. https://doi.org/10.3758/s13414-018-1579-7 Ort, E., & Olivers, C. N. L. (2020). The capacity of multiple-target search. Visual Cognition, 28(5-8), 330-355. https://doi.org/10.1080/13506285.2020.1772430 Peters, J. C., Goebel, R., & Roelfsema, P. R. (2008). Remembered but unused: The accessory items in working memory that do not guide attention. Journal of Cognitive Neuroscience, 21(6), 1081-1091. https://doi.org/10.1162/jocn.2009.21083 Poch, C., Valdivia, M., Capilla, A., Hinojosa, J. A., & Campo, P. (2018). Suppression of no-longer relevant information in working memory: An alpha-power related mechanism? Biological Psychology, 135, 112-116. https://doi.org/10.1016/j.biopsycho.2018.03.009 Postle, B. R. (2006). Working memory as an emergent property of the mind and brain. Neuroscience, 139(1), 23-38. https://doi.org/10.1016/j.neuroscience.2005.06.005 Qi, S., Ding, C., & Li, H. (2014). Neural correlates of inefficient filtering of emotionally neutral distractors from working memory in trait anxiety. Cognitive, Affective, & Behavioral Neuroscience, 14(1), 253-265. https://doi.org/10.3758/s13415-013-0203-5 Rademaker, R. L., Tredway, C. H., & Tong, F. (2012). Introspective judgments predict the precision and likelihood of successful maintenance of visual working memory. Journal of Vision, 12(13), 21. https://doi.org/10.1167/12.13.21 Rajsic, J., Carlisle, N. B., & Woodman, G. F. (2020). What not to look for: Electrophysiological evidence that searchers prefer positive templates. Neuropsychologia, 140, 107376. https://doi.org/10.1016/j.neuropsychologia.2020.107376 Rajsic, J., Ouslis, N. E., Wilson, D. E., & Pratt, J. (2017). Looking sharp: Becoming a search template boosts precision and stability in visual working memory. Attention, Perception, & Psychophysics, 79(6), 1643-1651. https://doi.org/10.3758/s13414-017-1342-5 Rajsic, J., & Woodman, G. F. (2019). Do we remember templates better so that we can reject distractors better? Attention, Perception, & Psychophysics, 82(1), 269-279. https://doi.org/10.3758/s13414-019-01721-8 Reinhart, R. M. G., Carlisle, N. B., & Woodman, G. F. (2014). Visual working memory gives up attentional control early in learning: Ruling out interhemispheric cancellation. Psychophysiology, 51(8), 800-804. https://doi.org/10.1111/psyp.12217 Reinhart, R. M. G., McClenahan, L. J., & Woodman, G. F. (2016). Attention’s accelerator. Psychological Science, 27(6), 790-798. https://doi.org/10.1177/0956797616636416 Reinhart, R. M. G., & Woodman, G. F. (2014). High stakes trigger the use of multiple memories to enhance the control of attention. Cerebral Cortex, 24(8), 2022-2035. https://doi.org/10.1093/cercor/bht057 Reinhart, R. M. G., & Woodman, G. F. (2015). Enhancing long-term memory with stimulation tunes visual attention in one trial. Proceedings of the National Academy of Sciences of the United States of America, 112(2), 625-630. https://doi.org/10.1073/pnas.1417259112 Rerko, L., & Oberauer, K. (2013). Focused, unfocused, and defocused information in working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(4), 1075-1096. https://doi.org/10.1037/a0031172 Rerko, L., Souza, A. S., & Oberauer, K. (2014). Retro-cue benefits in working memory without sustained focal attention. Memory & Cognition, 42(5), 712-728. https://doi.org/10.3758/s13421-013-0392-8 Roper, Z. J. J., & Vecera, S. P. (2012). Searching for two things at once: Establishment of multiple attentional control settings on a trial-by-trial basis. Psychonomic Bulletin & Review, 19(6), 1114-1121. https://doi.org/10.3758/s13423-012-0297-8 Rosen, V. M., & Engle, R. W. (1997). The role of working memory capacity in retrieval. Journal of Experimental Psychology: General, 126(3), 211-227. https://doi.org/10.1037/0096-3445.126.3.211 Sala, J. B., & Courtney, S. M. (2009). Flexible working memory representation of the relationship between an object and its location as revealed by interactions with attention. Attention, Perception, & Psychophysics, 71(7), 1525-1533. https://doi.org/10.3758/APP.71.7.1525 Salahub, C., Lockhart, H. A., Dube, B., Al-Aidroos, N., & Emrich, S. M. (2019). Electrophysiological correlates of the flexible allocation of visual working memory resources. Scientific Reports, 9(1), 19428. https://doi.org/10.1038/s41598-019-55948-4 Schmidt, B. K., Vogel, E. K., Woodman, G. F., & Luck, S. J. (2002). Voluntary and automatic attentional control of visual working memory. Perception & Psychophysics, 64(5), 754-763. https://doi.org/10.3758/BF03194742 Schmidt, J., & Zelinsky, G. J. (2009). Search guidance is proportional to the categorical specificity of a target cue. The Quarterly Journal of Experimental Psychology, 62(10), 1904-1914. https://doi.org/10.1080/17470210902853530 Schmidt, J., & Zelinsky, G. J. (2017). Adding details to the attentional template offsets search difficulty: Evidence from contralateral delay activity. Journal of Experimental Psychology: Human Perception and Performance, 43(3), 429-437. https://doi.org/10.1037/xhp0000367 Schneider, D., Göddertz, A., Haase, H., Hickey, C., & Wascher, E. (2019). Hemispheric asymmetries in EEG alpha oscillations indicate active inhibition during attentional orienting within working memory. Behavioural Brain Research, 359, 38-46. https://doi.org/10.1016/j.bbr.2018.10.020 Schneider, D., Mertes, C., & Wascher, E. (2015). On the fate of non-cued mental representations in visuo-spatial working memory: Evidence by a retro-cuing paradigm. Behavioural Brain Research, 293, 114-124. https://doi.org/10.1016/j.bbr.2015.07.034 Schneider, D., Mertes, C., & Wascher, E. (2016). The time course of visuo-spatial working memory updating revealed by a retro-cuing paradigm. Scientific Reports, 6(1), 21442. https://doi.org/10.1038/srep21442 Schneider, W. X. (2013). Selective visual processing across competition episodes: A theory of task-driven visual attention and working memory. Philosophical Transactions of the Royal Society of London: Series B, Biological Sciences, 368(1628), 20130060. https://doi.org/10.1098/rstb.2013.0060 Schurgin, M. W. (2018). Visual memory, the long and the short of it: A review of visual working memory and long-term memory. Attention, Perception, & Psychophysics, 80(5), 1035-1056. https://doi.org/10.3758/s13414-018-1522-y Sligte, I. G., Scholte, H. S., & Lamme, V. A. F. (2008). Are there multiple visual short-term memory stores? PLoS One, 3(2), e1699. https://doi.org/10.1371/journal.pone.0001699 Soto, D., Heinke, D., Humphreys, G. W., & Blanco, M. J. (2005). Early, involuntary top-down guidance of attention from working memory. Journal of Experimental Psychology: Human Perception and Performance, 31(2), 248-261. https://doi.org/10.1037/0096-1523.31.2.248 Soto, D., Hodsoll, J., Rotshtein, P., & Humphreys, G. W. (2008). Automatic guidance of attention from working memory. Trends in Cognitive Sciences, 12(9), 342-348. https://doi.org/10.1016/j.tics.2008.05.007 Soto, D., & Humphreys, G. W. (2009). Automatic selection of irrelevant object features through working memory: Evidence for top-down attentional capture. Experimental Psychology, 56(3), 165-172. https://doi.org/10.1027/1618-3169.56.3.165 Souza, A. S., & Oberauer, K. (2016). In search of the focus of attention in working memory: 13 years of the retro-cue effect. Attention, Perception, & Psychophysics, 78(7), 1839-1860. https://doi.org/10.3758/s13414-016-1108-5 Souza, A. S., Rerko, L., & Oberauer, K. (2015). Refreshing memory traces: Thinking of an item improves retrieval from visual working memory. Annals of the New York Academy of Sciences, 1339(1), 20-31. https://doi.org/10.1111/nyas.12603 Souza, A. S., Rerko, L., & Oberauer, K. (2016). Getting more from visual working memory: Retro-cues enhance retrieval and protect from visual interference. Journal of Experimental Psychology: Human Perception and Performance, 42(6), 890-910. https://doi.org/10.1037/xhp0000192 Stroud, M. J., Menneer, T., Cave, K. R., Donnelly, N., & Rayner, K. (2011). Search for multiple targets of different colours: Misguided eye movements reveal a reduction of colour selectivity. Applied Cognitive Psychology, 25(6), 971-982. https://doi.org/10.1002/acp.1790 Tabi, Y. A., Husain, M., & Manohar, S. G. (2019). Recall cues interfere with retrieval from visuospatial working memory. British Journal of Psychology, 110(2), 288-305. https://doi.org/10.1111/bjop.12374 Tas, A. C., Luck, S. J., & Hollingworth, A. (2016). The relationship between visual attention and visual working memory encoding: A dissociation between covert and overt orienting. Journal of Experimental Psychology: Human Perception and Performance, 42(8), 1121-1138. https://doi.org/10.1037/xhp0000212 Theeuwes, J. (1991). Cross-dimensional perceptual selectivity. Perception & Psychophysics, 50(2), 184-193. https://doi.org/10.3758/BF03212219 Theeuwes, J. (1992). Perceptual selectivity for color and form. Perception & Psychophysics, 51(6), 599-606. https://doi.org/10.3758/BF03211656 Treisman, A. M., & Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology, 12(1), 97-136. https://doi.org/10.1016/0010-0285(80)90005-5 Unsworth, N., Fukuda, K., Awh, E., & Vogel, E. K. (2014). Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive Psychology, 71, 1-26. https://doi.org/10.1016/j.cogpsych.2014.01.003 van den Berg, R., Awh, E., & Ma, W. J. (2014). Factorial comparison of working memory models. Psychological Review, 121(1), 124-149. https://doi.org/10.1037/a0035234 van den Berg, R., Shin, H., Chou, W.-C., George, R., & Ma, W. J. (2012). Variability in encoding precision accounts for visual short-term memory limitations. Proceedings of the National Academy of Sciences of the United States of America, 109(22), 8780-8785. https://doi.org/10.1073/pnas.1117465109 van Ede, F. (2018). Mnemonic and attentional roles for states of attenuated alpha oscillations in perceptual working memory: A review. European Journal of Neuroscience, 48(7), 2509-2515. https://doi.org/10.1111/ejn.13759 van Loon, A. M., Olmos-Solis, K., & Olivers, C. N. L. (2017). Subtle eye movement metrics reveal task-relevant representations prior to visual search. Journal of Vision, 17(6), 13. https://doi.org/10.1167/17.6.13 van Moorselaar, D., Theeuwes, J., & Olivers, C. N. L. (2014). In competition for the attentional template: Can multiple items within visual working memory guide attention? Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1450-1464. https://doi.org/10.1037/a0036229 Vandenbroucke, A. R. E., Sligte, I. G., & Lamme, V. A. F. (2011). Manipulations of attention dissociate fragile visual short-term memory from visual working memory. Neuropsychologia, 49(6), 1559-1568. https://doi.org/10.1016/j.neuropsychologia.2010.12.044 Vickery, T. J., King, L.-W., & Jiang, Y. (2005). Setting up the target template in visual search. Journal of Vision, 5(1), 8. https://doi.org/10.1167/5.1.8 Vissers, M. E., van Driel, J., & Slagter, H. A. (2016). Proactive, but not reactive, distractor filtering relies on local modulation of alpha oscillatory activity. Journal of Cognitive Neuroscience, 28(12), 1964-1979. https://doi.org/10.1162/jocn_a_01017 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., McCollough, A. W., & Machizawa, M. G. (2005). Neural measures reveal individual differences in controlling access to working memory. Nature, 438(7067), 500-503. https://doi.org/10.1038/nature04171 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 Wilken, P., & Ma, W. J. (2004). A detection theory account of change detection. Journal of Vision, 4(12), 11. https://doi.org/10.1167/4.12.11 Williams, R. S., Pratt, J., & Ferber, S. (2020). Directed avoidance and its effect on visual working memory. Cognition, 201, 104277. https://doi.org/10.1016/j.cognition.2020.104277 Wolfe, J. M. (1994). Guided Search 2.0: A revised model of visual search. Psychonomic Bulletin & Review, 1(2), 202-238. https://doi.org/10.3758/BF03200774 Wolfe, J. M. (2007). Guided Search 4.0: Current progress with a model of visual search. In W. D. Gray (Ed.), Integrated models of cognitive systems. (pp. 99-119). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195189193.003.0008 Wolfe, J. M. (2020). Visual search: How do we find what we are looking for? Annual Review of Vision Science, 6(1), 1-24. https://doi.org/10.1146/annurev-vision-091718-015048 Wolfe, J. M., Horowitz, T. S., Kenner, N., Hyle, M., & Vasan, N. (2004). How fast can you change your mind? The speed of top-down guidance in visual search. Vision Research, 44(12), 1411-1426. https://doi.org/10.1016/j.visres.2003.11.024 Wolfe, J. M., & Van Wert, M. J. (2010). Varying target prevalence reveals two dissociable decision criteria in visual search. Current Biology, 20(2), 121-124. https://doi.org/10.1016/j.cub.2009.11.066 Woodman, G. F., & Arita, J. T. (2011). Direct electrophysiological measurement of attentional templates in visual working memory. Psychological Science, 22(2), 212-215. https://doi.org/10.1177/0956797610395395 Woodman, G. F., Carlisle, N. B., & Reinhart, R. M. G. (2013). Where do we store the memory representations that guide attention? Journal of Vision, 13(3), 1. https://doi.org/10.1167/13.3.1 Woodman, G. F., & Luck, S. J. (2007). Do the contents of visual working memory automatically influence attentional selection during visual search? Journal of Experimental Psychology: Human Perception and Performance, 33(2), 363-377. https://doi.org/10.1037/0096-1523.33.2.363 Woodman, G. F., Luck, S. J., & Schall, J. D. (2007). The role of working memory representations in the control of attention. Cerebral Cortex, 17(suppl_1), i118-i124. https://doi.org/10.1093/cercor/bhm065 Yang, H., & Zelinsky, G. J. (2009). Visual search is guided to categorically-defined targets. Vision Research, 49(16), 2095-2103. https://doi.org/10.1016/j.visres.2009.05.017 Zanto, T. P., & Gazzaley, A. (2009). Neural suppression of irrelevant information underlies optimal working memory performance. The Journal of Neuroscience, 29(10), 3059-3066. https://doi.org/10.1523/JNEUROSCI.4621-08.2009 Zhang, B., Liu, S., Doro, M., & Galfano, G. (2018). Attentional guidance from multiple working memory representations: Evidence from eye movements. Scientific Reports, 8(1), 13876. https://doi.org/10.1038/s41598-018-32144-4 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 Zhou, C., Lorist, M. M., & Mathôt, S. (2020). Concurrent guidance of attention by multiple working memory items: Behavioral and computational evidence. Attention, Perception, & Psychophysics, 82(6), 2950-2962. https://doi.org/10.3758/s13414-020-02048-5 Zokaei, N., Gorgoraptis, N., Bahrami, B., Bays, P. M., & Husain, M. (2011). Precision of working memory for visual motion sequences and transparent motion surfaces. Journal of Vision, 11(14), 2. https://doi.org/10.1167/11.14.2 Zokaei, N., Ning, S., Manohar, S., Feredoes, E., & Husain, M. (2014). Flexibility of representational states in working memory. Frontiers in Human Neuroscience, 8, 853. https://doi.org/10.3389/fnhum.2014.00853