[1] |
Allen, R. J., & Ueno, T. (2018). Multiple high-reward items can be prioritized in working memory but with greater vulnerability to interference. Attention, Perception, & Psychophysics, 80(7), 1731-1743.
doi: 10.3758/s13414-018-1543-6
|
[2] |
Atkinson, A. L., Berry, E. D. J., Waterman, A. H., Baddeley, A. D., Hitch, G. J., & Allen, R. J. (2018). Are there multiple ways to direct attention in working memory? Annals of the New York Academy of Sciences, 1424(1), 115-126.
|
[3] |
Baddeley, A. D. (1992). Working memory. Science, 255(5044), 556-559.
doi: 10.1126/science.1736359
pmid: 1736359
|
[4] |
Baddeley, A. D. (2000). The episodic buffer: A new component of working memory? Trends in Cognitive Sciences, 4(11), 417-423.
doi: 10.1016/s1364-6613(00)01538-2
pmid: 11058819
|
[5] |
Baddeley, A. D., & Hitch, G. (1974). Working memory. Psychology of Learning and Motivation, 8,47-89.
|
[6] |
Beck, S. M., Locke, H. S., Savine, A. C., Jimura, K., & Braver, T. S. (2010). Primary and secondary rewards differentially modulate neural activity dynamics during working memory. PLoS ONE, 5(2), e9251.
|
[7] |
Bowen, H. J., Marchesi, M. L., & Kensinger, E. A. (2020). Reward motivation influences response bias on a recognition memory task. Cognition, 203,104337.
doi: 10.1016/j.cognition.2020.104337
URL
|
[8] |
Cowan, N. (2017). The many faces of working memory and short-term storage. Psychonomic Bulletin & Review, 24(4), 1158-1170.
doi: 10.3758/s13423-016-1191-6
URL
|
[9] |
Dodgson, D. B., & Raymond, J. E. (2020). Value associations bias ensemble perception. Attention, Perception, & Psychophysics, 82(1), 109-117.
doi: 10.3758/s13414-019-01744-1
|
[10] |
Dunn, O. J. (1961). Multiple comparisons among means. Journal of the American Statistical Association, 56(293), 52-64.
doi: 10.1080/01621459.1961.10482090
URL
|
[11] |
Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. (2015). Neurocognitive architecture of working memory. Neuron, 88(1), 33-46.
doi: 10.1016/j.neuron.2015.09.020
pmid: 26447571
|
[12] |
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149-1160.
doi: 10.3758/BRM.41.4.1149
pmid: 19897823
|
[13] |
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.
doi: 10.3758/bf03193146
pmid: 17695343
|
[14] |
Gong, M., & Li, S. (2014). Learned reward association improves visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 40(2), 841-856.
doi: 10.1037/a0035131
pmid: 24392741
|
[15] |
Gong, M., Yang, F., & Li, S. (2016). Reward association facilitates distractor suppression in human visual search. European Journal of Neuroscience, 43(7), 942-953.
doi: 10.1111/ejn.13174
pmid: 26797805
|
[16] |
Griffin, M. L., Benjamin, A. S., Sahakyan, L., & Stanley, S. E. (2019). A matter of priorities: High working memory enables (slightly) superior value-directed remembering. Journal of Memory and Language, 108,104032.
doi: 10.1016/j.jml.2019.104032
URL
|
[17] |
Grogan, J. P., Randhawa, G., Kim, M., & Manohar, S. G. (2022). Motivation improves working memory by two processes: Prioritisation and retrieval thresholds. Cognitive Psychology, 135,101472.
doi: 10.1016/j.cogpsych.2022.101472
URL
|
[18] |
Hitch, G. J., Allen, R. J., & Baddeley, A. D. (2020). Attention and binding in visual working memory: Two forms of attention and two kinds of buffer storage. Attention, Perception, & Psychophysics, 82(1), 280-293.
doi: 10.3758/s13414-019-01837-x
|
[19] |
Hitch, G. J., Hu, Y., Allen, R. J., & Baddeley, A. D. (2018). Competition for the focus of attention in visual working memory:Perceptual recency versus executive control. Annals of the New York Academy of Sciences, 1424(1), 64-75.
|
[20] |
Hu, Y., Hitch, G. J., Baddeley, A. D., Zhang, M., & Allen, R. J. (2014). Executive and perceptual attention play different roles in visual working memory: Evidence from suffix and strategy effects. Journal of Experimental Psychology: Human Perception and Performance, 40(4), 1665-1678.
doi: 10.1037/a0037163
pmid: 24933616
|
[21] |
Kiss, M., Driver, J., & Eimer, M. (2009). Reward priority of visual target singletons modulates event-related potential signatures of attentional selection. Psychological Science, 20(2), 245-251.
doi: 10.1111/j.1467-9280.2009.02281.x
pmid: 19175756
|
[22] |
Klink, P. C., Jeurissen, D., Theeuwes, J., Denys, D., & Roelfsema, P. R. (2017). Working memory accuracy for multiple targets is driven by reward expectation and stimulus contrast with different time-courses. Scientific Reports, 7(1), 9082.
|
[23] |
Klyszejko, Z., Rahmati, M., & Curtis, C. E. (2014). Attentional priority determines working memory precision. Vision Research, 105,70-76.
doi: 10.1016/j.visres.2014.09.002
pmid: 25240420
|
[24] |
Lin, Y., & Fougnie, D. (2022). No evidence that the retro-cue benefit requires reallocation of memory resources. Cognition, 229,105230.
doi: 10.1016/j.cognition.2022.105230
URL
|
[25] |
Myers, N. E., Chekroud, S. R., Stokes, M. G., & Nobre, A. C. (2018). Benefits of flexible prioritization in working memory can arise without costs. Journal of Experimental Psychology: Human Perception and Performance, 44(3), 398-411.
doi: 10.1037/xhp0000449
pmid: 28816476
|
[26] |
Park, H. B., Zhang, W., & Hyun, J. S. (2017). The aftermath of memory retrieval for recycling visual working memory representations. Attention, Perception, & Psychophysics, 79(5), 1393-1407.
doi: 10.3758/s13414-017-1314-9
URL
|
[27] |
Peirce, J. W. (2007). Psychopy-psychophysics software in python. Journal of Neuroscience Methods, 162(1-2), 8-13.
doi: 10.1016/j.jneumeth.2006.11.017
URL
|
[28] |
Peirce, J. W., Gray, J. R., Simpson, S., MacAskill, M. R., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195-203.
doi: 10.3758/s13428-018-01193-y
pmid: 30734206
|
[29] |
Peirce, J. W., Hirst, R. J. & MacAskill, M. R. (2022). Building Experiments in PsychoPy (2nd ed.). Sage.
|
[30] |
Rerko, L., Souza, A. S., & Oberauer, K. (2014). Retro-cue benefits in working memory without sustained focal attention. Memory & Cognition, 42(5), 712-728.
doi: 10.3758/s13421-013-0392-8
URL
|
[31] |
Robison, M. K., & Unsworth, N. (2017). Working memory capacity, strategic allocation of study time, and value- directed remembering. Journal of Memory and Language, 93,231-244.
doi: 10.1016/j.jml.2016.10.007
URL
|
[32] |
Sandry, J., & Ricker, T. J. (2020). Prioritization within visual working memory reflects a flexible focus of attention. Attention, Perception, & Psychophysics, 82(6), 2985-3004.
doi: 10.3758/s13414-020-02049-4
|
[33] |
Taylor, S. F., Welsh, R. C., Wager, T. D., Phan, K. L., Fitzgerald, K. D., & Gehring, W. J. (2004). A functional neuroimaging study of motivation and executive function. NeuroImage, 21(3), 1045-1054.
doi: 10.1016/j.neuroimage.2003.10.032
pmid: 15006672
|
[34] |
Thomas, P. M. J., FitzGibbon, L., & Raymond, J. E. (2016). Value conditioning modulates visual working memory processes. Journal of Experimental Psychology: Human Perception and Performance, 42(1), 6-10.
doi: 10.1037/xhp0000144
pmid: 26523489
|
[35] |
Turley-Ames, K. J., & Whitfield, M. M. (2003). Strategy training and working memory task performance. Journal of Memory and Language, 49(4), 446-468.
doi: 10.1016/S0749-596X(03)00095-0
URL
|
[36] |
Valentin, V. V., & O’Doherty, J. P. (2009). Overlapping prediction errors in dorsal striatum during instrumental learning with juice and money reward in the human brain. Journal of Neurophysiology, 102(6), 3384-3391.
doi: 10.1152/jn.91195.2008
pmid: 19793875
|
[37] |
Woodman, G. F., & Vecera, S. P. (2011). The cost of accessing an object’s feature stored in visual working memory. Visual Cognition, 19(1), 1-12.
doi: 10.1080/13506285.2010.521140
URL
|