Addleman, D. A., Tao, J., Remington, R. W., & Jiang, Y. V. (2017). Explicit goal-driven attention, unlike implicitly learned attention, spreads to secondary tasks. Journal of Experimental Psychology: Human Perception and Performance, 44, 356-366. https://doi.org/10.1037/xhp0000457

Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012). Top-down versus bottom-up attentional control: A failed theoretical dichotomy. Trends in Cognitive Sciences, 16, 437-443. https://doi.org/10.1016/j.tics.2012.06.010

Baluch, F., & Itti, L. (2011). Mechanisms of top-down attention. Trends in Neurosciences, 34, 210-224. https://doi.org/10.1016/j.tins.2011.02.003

Basso, M. A., & Wurtz, R. H. (1998). Modulation of neuronal activity in superior colliculus by changes in target probability. The Journal of Neuroscience, 18, 7519-7534. https://doi.org/10.1523/JNEUROSCI.18-18-07519.1998

Bisley, J. W., & Goldberg, M. E. (2010). Attention, intention, and priority in the parietal lobe. Annual Review of Neuroscience, 33, 1-21. https://doi.org/10.1146/annurevneuro-060909-152823

Brascamp, J. W., Pels, E., & Kristjánsson, Á. (2011). Priming of pop-out on multiple time scales during visual search. Vision Research, 51, 1972-1978. https://doi.org/10.1016/j.visres.2011.07.007

Chua, K.-W., & Gauthier, I. (2016). Category-specific learned attentional bias to object parts. Attention, Perception, and Psychophysics, 78, 44-51. https://doi.org/10.3758/s13414-015-1040-0

Chun, M. M. (2000). Contextual cueing of visual attention. Trends in Cognitive Sciences, 4, 170-178. https://doi.org/10.1016/S1364-6613(00)01476-5

Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive Psychology, 36, 28-71. https://doi.org/10.1006/cogp.1998.0681

Chun, M. M., & Jiang, Y. (1999). Top-Down Attentional guidance based on implicit learning of visual covariation. Psychological Science, 10, 360-365. https://doi.org/10.1111/1467-9280.00168

Cosman, J. D., & Vecera, S. P. (2014). Establishment of an attentional set via statistical learning. Journal of Experimental Psychology: Human Perception and Performance, 40, 1-6. https://doi.org/10.1037/a0034489

Crump, M. J. C., Gong, Z., & Milliken, B. (2006). The context-specific proportion congruent Stroop effect: Location as a contextual cue. Psychonomic Bulletin and Review, 13, 316-321. https://doi.org/10.3758/BF03193850

Crump, M. J. C., Vaquero, J. M. M., & Milliken, B. (2008). Context-specific learning and control: The roles of awareness, task relevance, and relative salience. Consciousness and Cognition, 17, 22-36. https://doi.org/10.1016/j.concog.2007.01.004

Culham, J. C., & Kanwisher, N. G. (2001). Neuroimaging of cognitive functions in human parietal cortex. Current Opinion in Neurobiology, 11, 157-163. https://doi.org/10.1016/S0959-4388(00)00191-4

Delgado, M. R., Nystrom, L. E., Fissell, C., Noll, D. C., & Fiez, J. A. (2000). Tracking the hemodynamic responses to reward and punishment in the striatum. Journal of Neurophysiology, 84, 3072-3077. https://doi.org/10.1152/jn.2000.84.6.3072

Druker, M., & Anderson, B. (2010). Spatial probability aids visual stimulus discrimination. Frontiers in Human Neuroscience, 4(August), 1-10. https://doi.org/10.3389/fnhum.2010.00063

Egeth, H. E., & Yantis, S. (1997). Visual attention: Control, representation, and time course. Annual Review of Psychology, 48, 269-297. https://doi.org/10.1146/annurev.psych.48.1.269

Fecteau, J. H., & Munoz, D. P. (2006). Salience, relevance, and firing: a priority map for target selection. Trends in Cognitive Sciences, 10, 382-390. https://doi.org/10.1016/j.tics.2006.06.011

Ferrante, O., Patacca, A., Di Caro, V., Della Libera, C., Santandrea, E., & Chelazzi, L. (2017). Altering spatial priority maps via statistical learning of target selection and distractor filtering. Cortex, 102, 67-95. https://doi.org/10.1016/j.cortex.2017.09.027

Fiser, J., & Aslin, R. N. (2002). Statistical learning of higher-order temporal structure from visual shape sequences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 458-467. https://doi.org/10.1037//0278-7393.28.3.458

Geng, J. J., & Behrmann, M. (2002). Probability cuing of target location facilitates visual search implicitly in normal participants and patients with hemispatial neglect. Psychological Science, 13, 520-525. https://doi.org/10.1111/1467-9280.00491

Geng, J. J., & Behrmann, M. (2005). Spatial probability as an attentional cue in visual search. Perception and Psychophysics, 67, 1252-1268. https://doi.org/10.3758/BF03193557

Goschy, H., Bakos, S., Müller, H. J., & Zehetleitner, M. (2014). Probability cueing of distractor locations: Both intertrial facilitation and statistical learning mediate interference reduction. Frontiers in Psychology, 5, 1195. https://doi.org/10.3389/fpsyg.2014.01195

Greene, A. J., Gross, W. L., Elsinger, C. L., & Rao, S. M. (2007). Hippocampal differentiation without recognition: an fMRI analysis of the contextual cueing task. Learning and Memory, 14, 548-553. https://doi.org/10.1101/lm.609807

Han, S. H., & Kim, M.-S. (2004). Visual search does not remain efficient when executive working memory is working. Psychological Science, 15, 623-628. https://doi.org/10.1111/j.0956-7976.2004.00730.x

Hong, I., Jeong, S.-K., & Kim, M.-S. (2018). Task relevance affects the context-dependency of implicit learning. Journal of Vision, 18, https://doi.org/643.10.1167/18.10.643.

Hübner, R., & Mishra, S. (2016). Location-specific attentional control is also possible in the Simon task. Psychonomic Bulletin and Review, 23, 1867-1872. https://doi.org/10.3758/s13423-016-1057-y

Ji, E., & Kim, M.-S. (2017). Unconscious endogenous attention. The Korean Journal of Cognitive and Biological Psychology, 29, 21-40.

Jiang, Y., & Chun, M. M. (2001). Selective attention modulates implicit learning. The Quarterly Journal of Experimental Psychology, 54A, 1105-1124. https://doi.org/10.1080/02724980042000516

Jiang, Y. V. (2017). Habitual versus goal-driven attention. Cortex, 102, 107-120. https://doi.org/10.1016/j.cortex.2017.06.018

Jiang, Y. V., Koutstaal, W., & Twedell, E. L. (2016). Habitual attention in older and young adults. Psychology and Aging, 31, 970-980. https://doi.org/10.1037/pag0000139

Jiang, Y. V., & Swallow, K. M. (2014). Changing viewer perspectives reveals constraints to implicit visual statistical learning. Journal of Vision, 14, 1-16. https://doi.org/10.1167/14.12.3

Jiang, Y. V., Swallow, K. M., & Capistrano, C. G. (2013). Visual search and location probability learning from variable perspectives. Journal of Vision, 13, 1-13. https://doi.org/10.1167/13.6.13

Jiang, Y. V., Swallow, K. M., & Rosenbaum, G. M. (2013). Guidance of spatial attention by incidental learning and endogenous cuing. Journal of Experimental Psychology:Human Perception and Performance, 39, 285-297. https://doi.org/10.1037/a0028022

Jiang, Y. V., Swallow, K. M., Rosenbaum, G. M., & Herzig, C. (2013). Rapid acquisition but slow extinction of an attentional bias in space. Journal of Experimental Psychology: Human Perception and Performance, 39, 87-99. https://doi.org/10.1037/a0027611

Jiang, Y. V., Swallow, K. M., Won, B.-Y., Cistera, J. D., & Rosenbaum, G. M. (2015). Task specificity of attention training: the case of probability cuing. Attention, Perception, and Psychophysics, 77, 50-66. https://doi.org/10.3758/s13414-014-0747-7

Jiang, Y. V., Won, B.-Y., & Swallow, K. M. (2014). First saccadic eye movement reveals persistent attentional guidance by implicit learning. Journal of Experimental Psychology: Human Perception and Performance, 40, 1161-1173. https://doi.org/10.1037/a0035961

Jiang, Y. V., Won, B.-Y., Swallow, K. M., & Mussack, D. M. (2014). Spatial reference frame of attention in a large outdoor environment. Journal of Experimental Psychology:Human Perception and Performance, 40, 1346-1357. https://doi.org/10.1037/a0036779

Jonides, J. (1980). Towards a model of the mind's eye's movement. Canadian Journal of Psychology, 34, 103-112. http://doi.org/10.1037/h0081031

Kabata, T., & Matsumoto, E. (2012). Cueing effects of target location probability and repetition. Vision Research, 73, 23-29. https://doi.org/10.1016/j.visres.2012.09.014

Katyal, S., Zughni, S., Greene, C., & Ress, D. (2010). Topography of covert visual attention in human superior colliculus. Journal of Neurophysiology, 104, 3074-3083. https://doi.org/10.1152/jn.00283.2010

Krauzlis, R. J., Lovejoy, L. P., & Zénon, A. (2013). Superior colliculus and visual spatial attention. Annual Review of Neuroscience, 36, 165-182. https://doi.org/10.1146/annurevneuro-062012-170249.

Kruijne, W., & Meeter, M. (2015). The long and the short of priming in visual search. Attention, Perception, and Psychophysics, 77, 1558-1573. https://doi.org/10.3758/s13414-015-0860-2

Leber, A. B., Gwinn, R. E., Hong, Y., & O’Toole, R. J. (2016). Implicitly learned suppression of irrelevant spatial locations. Psychonomic Bulletin and Review, 23, 1873-1881. https://doi.org/10.3758/s13423-016-1065-y

Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian Cognitive Modeling: A Practical Course. New York: Cambridge University Press.

Li, C.-L., Aivar, M. P., Tong, M. H., & Hayhoe, M. M. (2018). Memory shapes visual search strategies in large-scale environments. Scientific Reports, 8, 4324. https://doi.org/10.1038/s41598-018-22731-w

Lucas, N., Schwartz, S., Leroy, R., Pavin, S., Diserens, K., & Vuilleumier, P. (2013). Gambling against neglect:Unconscious spatial biases induced by reward reinforcement in healthy people and brain-damaged patients. Cortex, 49, 2616-2627. https://doi.org/10.1016/j.cortex.2013.06.004

Maljkovic, V., & Nakayama, K. (1996). Priming of pop-out: II. The role of position. Perception and Psychophysics, 58, 977-991. https://doi.org/10.3758/BF03206826

Manelis, A., & Reder, L. M. (2012). Procedural learning and associative memory mechanisms contribute to contextual cueing: Evidence from fMRI and eye-tracking. Learning and Memory, 19, 527-534. https://doi.org/10.1101/lm.025973.112

Montefinese, M., Sulpizio, V., Galati, G., & Committeri, G. (2015). Age-related effects on spatial memory across viewpoint changes relative to different reference frames. Psychological Research, 79, 687-697. https://doi.org/10.1007/s00426-014-0598-9

Oh, S. H., & Kim, M.-S. (2004). The role of spatial working memory in visual search efficiency. Psychonomic Bulletin and Review, 11, 275-281. https://doi.org/10.3758/BF03196570

Posner, M. I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32, 3-25. https://doi.org/10.1080/00335558008248231

Reber, P. J. (2013). The neural basis of implicit learning and memory: a review of neuropsychological and neuroimaging research. Neuropsychologia, 51, 2026-2042. https://doi.org/10.1016/j.neuropsychologia.2013.06.019

Salovich, N. A., Remington, R. W., & Jiang, Y. V. (2018). Acquisition of habitual visual attention and transfer to related tasks. Psychonomic Bulletin and Review, 25, 1052-1058. https://doi.org/10.3758/s13423-017-1341-5

Schultz, W., & Dickinson, A. (2000). Neuronal coding of prediction errors. Annual Review of Neuroscience, 23, 473-500. https://doi.org/10.1146/annurev.neuro.23.1.473

Schwark, J., & Dolgov, I. (2013). The influence of spatial and feature probability cuing in visual search. Perception, 42, 470-472. https://doi.org/10.1068/p7469

Serences, J. T., & Yantis, S. (2006). Selective visual attention and perceptual coherence. Trends in Cognitive Sciences, 10, 38-45. https://doi.org/10.1016/j.tics.2005.11.008

Serences, J. T., & Yantis, S. (2007). Spatially selective representations of voluntary and stimulus-driven attentional priority in human occipital, parietal, and frontal cortex. Cerebral Cortex, 17, 284-293. https://doi.org/10.1093/cercor/bhj146

Shaqiri, A., & Anderson, B. (2012). Spatial probability cuing and right hemisphere damage. Brain and Cognition, 80, 352-360. https://doi.org/10.1016/j.bandc.2012.08.006

Shaqiri, A., & Anderson, B. (2013). Priming and statistical learning in right brain damaged patients. Neuropsychologia, 51, 2526-2533. https://doi.org/10.1016/j.neuropsychologia. 2013.09.024

Sisk, C. A., Twedell, E. L., Koutstaal, W., Cooper, S. E., & Jiang, Y. V. (2018). Implicitly-learned spatial attention is unimpaired in patients with Parkinson's disease. Neuropsychologia, 119, 34-44. https://doi.org/10.1016/j.neuropsychologia.2018.07.030

Smith, A. D., Hood, B. M., & Gilchrist, I. D. (2010). Probabilistic cuing in large-scale environmental search. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 605-618. https://doi.org/10.1037/a0018280

Smith, A. D., Wallace, F., Hood, B., & Gilchrist, I. D. (2009). Mechanisms of large-scale environmental search: Probability cueing depends on the relationship between landmarks and target distribution. Cognitive Processing, 10(Suppl 2), 305-306. https://doi.org/10.1007/s10339-009-0312-9

Theeuwes, J. (1994). Endogenous and exogenous control of visual selection. Perception, 23, 429-440. https://doi.org/10. 1068/p230429

Theeuwes, J. (2004). Top-down search strategies cannot override attentional capture. Psychonomic Bulletin and Review, 11, 65-70. https://doi.org/10.3758/BF03206462

Thompson, K. G., & Bichot, N. P. (2005). A visual salience map in the primate frontal eye field. Progress in Brain Research, 147, 251-262. https://doi.org/10.1016/S0079-6123(04)47019-8

Turk-Browne, N. B., Jungé, J. A., & Scholl, B. J. (2005). The automaticity of visual statistical learning. Journal of Experimental Psychology: General, 134, 552-564. https://doi. org/10.1037/0096-3445.134.4.552

Turk-Browne, N. B., Scholl, B. J., Chun, M. M., & Johnson, M. K. (2009). Neural evidence of statistical learning: Efficient detection of visual regularities without awareness. Journal of Cognitive Neuroscience, 21, 1934-1945. https://doi.org/10.1162 jocn.2009.21131

Twedell, E. L., Koutstaal, W., & Jiang, Y. V. (2017). Aging affects the balance between goal-guided and habitual spatial attention. Psychonomic Bulletin and Review, 24, 1135-1141. https://doi.org/10.3758/s13423-016-1214-3

Walthew, C., & Gilchrist, I. D. (2006). Target location probability effects in visual search: An effect of sequential dependencies. Journal of Experimental Psychology: Human Perception and Performance, 32, 1294-1301. https://doi. org/10.1037/0096-1523.32.5.1294

Wang, B., & Theeuwes, J. (2018a). How to inhibit a distractor location? Statistical learning versus active, top-down suppression. Attention, Perception, and Psychophysics, 80, 860-870. https://doi.org/10.3758/s13414-018-1493-z

Wang, B., & Theeuwes, J. (2018b). Statistical regularities modulate attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 44, 13-17. https://doi.org/10.1037/xhp0000472

Wendt, M., Kluwe, R. H., & Vietze, I. (2008). Location-specific versus hemisphere-specific adaptation of processing selectivity. Psychonomic Bulletin and Review, 15, 135-140. https://doi.org/10.3758/PBR.15.1.135

Wolfe, J. M., Alvarez, G. A., & Horowitz, T. S. (2000). Attention is fast but volition is slow. Nature, 406, 691. https://doi.org/10.1038/35021132

Won, B.-Y., & Jiang, Y. V. (2015). Spatial working memory interferes with explicit, but not probabilistic cuing of spatial attention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41, 787-806. http://doi.org/10.1037/xlm0000040

Won, B.-Y., & Leber, A. B. (2016). Search for targets in visual working memory is biased by statistical learning. Journal of Vision, 16, 365. https://doi.org/10.1167/16.12.365

Won, B.-Y., Lee, H. J., & Jiang, Y. V. (2015). Statistical learning modulates the direction of the first head movement in a large-scale search task. Attention, Perception, and Psychophysics, 77, 2229-2239. https://doi.org/10.3758/s13414-015-0957-7

Woodman, G. F., & Luck, S. J. (2004). Visual search is slowed when visuospatial working memory is occupied. Psychonomic Bulletin and Review, 11, 269-274. https://doi.org/10.3758/ BF03196569