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What is the Role of Spatial Attention in Statistical Learning During Visual Search? Cover

What is the Role of Spatial Attention in Statistical Learning During Visual Search?

Open Access
|Jul 2024

References

  1. 1Anstis, S. M., & Cavanagh, P. (1983). A minimum motion method for judging equiluminance. In J. D. Mollon & L. T. Sharpe (Eds.), Color vision: Physiology and psychophysics (pp. 156166). New York: Academic Press.
  2. 2Baker, C. I., Olson, C. R., & Behrmann, M. (2004). Role of attention and perceptual grouping in visual statistical learning. Psychological Science, 15(7), 460466. DOI: 10.1111/j.0956-7976.2004.00702.x
  3. 3Britton, M. K., & Anderson, B. A. (2020). Specificity and persistence of statistical learning in distractor suppression. Journal of Experimental Psychology: Human Perception and Performance, 46(3), 324334. DOI: 10.1037/xhp0000718
  4. 4Brysbaert, M. (2019). How many participants do we have to include in properly powered experiments? A tutorial of power analysis with reference tables. Journal of Cognition, 2(1), 138. DOI: 10.5334/joc.72
  5. 5Chun, M. M., & Jiang, Y. (1998). Contextual cueing: Implicit learning and memory of visual context guides spatial attention. Cognitive psychology, 36(1), 2871. DOI: 10.1006/cogp.1998.0681
  6. 6Conway, C. M. (2020). How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning. Neuroscience and Biobehavioral Reviews, 112, 279299. DOI: 10.1016/j.neubiorev.2020.01.032
  7. 7Curcio, C. A., Sloan, K. R., Kalina, R. E., & Hendrickson, A. E. (1990). Human photoreceptor topography. Journal of comparative neurology, 292(4), 497523. DOI: 10.1002/cne.902920402
  8. 8Duncan, D., & Theeuwes, J. (2020). Statistical learning in the absence of explicit top-down attention. Cortex, 131, 5465. DOI: 10.1016/j.cortex.2020.07.006
  9. 9Failing, M., & Theeuwes, J. (2020). More capture, more suppression: Distractor suppression due to statistical regularities is determined by the magnitude of attentional capture. Psychonomic Bulletin and Review, 27(1), 8695. DOI: 10.3758/s13423-019-01672-z
  10. 10Ferrante, O., Patacca, A., di Caro, V., della Libera, C., Santandrea, E., & Chelazzi, L. (2018). Altering spatial priority maps via statistical learning of target selection and distractor filtering. Cortex, 102, 6795. DOI: 10.1016/j.cortex.2017.09.027
  11. 11Fiser, 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(3), 458467. DOI: 10.1037//0278-7393.28.3.458
  12. 12Frost, R., Armstrong, B. C., & Christiansen, M. H. (2019). Statistical learning research: A critical review and possible new directions. Psychological Bulletin, 145(12), 11281153. DOI: 10.1037/bul0000210
  13. 13Geng, 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(6), 520525. DOI: 10.1111/1467-9280.00491
  14. 14Golan, A., & Lamy, D. (2022). Is Statistical Learning of a Salient Distractor’s Color Implicit, Inflexible and Distinct From Inter-Trial Priming? Journal of cognition, 5(1). DOI: 10.5334/joc.243
  15. 15Golan, A., & Lamy, D. (2023). Attentional guidance by target-location probability cueing is largely inflexible, long-lasting, and distinct from inter-trial priming. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication. DOI: 10.1037/xlm0001220
  16. 16Hall, M. G., Mattingley, J. B., & Dux, P. E. (2015). Distinct contributions of attention and working memory to visual statistical learning and ensemble processing. Journal of Experimental Psychology: Human Perception and Performance, 41(4), 11121123. DOI: 10.1037/xhp0000069
  17. 17Horváth, K., Török, C., Pesthy, O., Nemeth, D., & Janacsek, K. (2020). Divided attention does not affect the acquisition and consolidation of transitional probabilities. Scientific reports, 10(1), 114. DOI: 10.1038/s41598-020-79232-y
  18. 18Jiang, Y. (2018). Habitual versus goal-driven attention. Cortex, 102, 107120. DOI: 10.1016/j.cortex.2017.06.018
  19. 19Jiang, Y., Swallow, K. M., Won, B. Y., Cistera, J. D., & Rosenbaum, G. M. (2014). Task specificity of attention training: the case of probability cuing. Attention, Perception, and Psychophysics, 77(1), 5066. DOI: 10.3758/s13414-014-0747-7
  20. 20Li, Q., Joo, S. J., Yeatman, J. D., & Reinecke, K. (2020). Controlling for participants’ viewing distance in large-scale, psychophysical online experiments using a virtual chinrest. Scientific Reports, 10(1), 904. DOI: 10.1038/s41598-019-57204-1
  21. 21Liesefeld, H. R., Lamy, D., Gaspelin, N., Geng, J. J., Kerzel, D., Schall, J. D., … & Wolfe, J. (2024). Terms of debate: Consensus definitions to guide the scientific discourse on visual distraction. Attention, Perception, & Psychophysics, 128. DOI: 10.3758/s13414-023-02820-3
  22. 22Maljkovic, V., & Nakayama, K. (1994). Priming of pop-out: I. Role of features. Memory & cognition, 22(6), 657672. DOI: 10.3758/BF03209251
  23. 23Musz, E., Weber, M. J., & Thompson-Schill, S. L. (2015). Visual statistical learning is not reliably modulated by selective attention to isolated events. Attention, Perception, & Psychophysics, 77, 7896. DOI: 10.3758/s13414-014-0757-5
  24. 24Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274(5294), 19261928. DOI: 10.1126/science.274.5294.1926
  25. 25Saffran, J. R., Johnson, E. K., Aslin, R. N., & Newport, E. L. (1999). Statistical learning of tone sequences by human infants and adults. Cognition, 70(1), 2752. DOI: 10.1016/S0010-0277(98)00075-4
  26. 26Stilwell, B. T., Bahle, B., & Vecera, S. P. (2019). Feature-based statistical regularities of distractors modulate attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 45(3), 419433. DOI: 10.1037/xhp0000613
  27. 27Thaler, L., Schütz, A. C., Goodale, M. A., & Gegenfurtner, K. R. (2013). What is the best fixation target? The effect of target shape on stability of fixational eye movements. Vision research, 76, 3142. DOI: 10.1016/j.visres.2012.10.012
  28. 28Theeuwes, J. (1991). Exogenous and endogenous control of attention: The effect of visual onsets and offsets. Perception & Psychophysics, 49(1), 8390. DOI: 10.3758/BF03211619
  29. 29Theeuwes, J. (1992). Perceptual selectivity for color and form. Perception & psychophysics, 51(6), 599606. DOI: 10.3758/BF03211656
  30. 30Townsend, J. T., & Ashby, F. G. (1978). Methods of modeling capacity in simple processing systems. In J. Castellan & F. Restle (Eds.), Cognitive theory. Vol. 3. (pp. 200239). Hillsdale, NJ: Erlbaum.
  31. 31Turatto, M., Bonetti, F., Pascucci, D., & Chelazzi, L. (2018). Desensitizing the attention system to distraction while idling: A new latent learning phenomenon in the visual attention domain. Journal of Experimental Psychology: General, 147(12), 1827. DOI: 10.1037/xge0000503
  32. 32Turk-Browne, N. B., Jungé, J. A., & Scholl, B. J. (2005). The automaticity of visual statistical learning. Journal of Experimental Psychology: General, 134(4), 552564. DOI: 10.1037/0096-3445.134.4.552
  33. 33van Moorselaar, D., & Theeuwes, J. (2021). Statistical distractor learning modulates perceptual sensitivity. Journal of Vision, 21(12), 3. DOI: 10.1167/jov.21.12.3
  34. 34Wang, B., & Theeuwes, J. (2018a). How to inhibit a distractor location? Statistical learning versus active, top-down suppression. Attention, Perception, and Psychophysics, 80(4), 860870. DOI: 10.3758/s13414-018-1493-z
  35. 35Wang, B., & Theeuwes, J. (2018b). Statistical regularities modulate attentional capture independent of search strategy. Attention, Perception, and Psychophysics, 80(7), 17631774. DOI: 10.3758/s13414-018-1562-3
  36. 36Wang, B., & Theeuwes, J. (2018c). Statistical regularities modulate attentional capture. Journal of Experimental Psychology: Human Perception and Performance, 44(1), 13. DOI: 10.1037/xhp0000472
  37. 37Yantis, S., & Jonides, J. (1990). Abrupt visual onsets and selective attention: Voluntary versus automatic allocation. Journal of Experimental Psychology: Human Perception and Performance, 16(1), 121134. DOI: 10.1037//0096-1523.16.1.121
  38. 38Yu, R. Q., & Zhao, J. (2015). The persistence of the attentional bias to regularities in a changing environment. Attention, Perception, & Psychophysics, 77, 22172228. DOI: 10.3758/s13414-015-0930-5
  39. 39Zhao, J., Al-Aidroos, N., & Turk-Browne, N. B. (2013). Attention is Spontaneously biased toward regularities. Psychological Science, 24(5), 667677. DOI: 10.1177/0956797612460407
DOI: https://doi.org/10.5334/joc.382 | Journal eISSN: 2514-4820
Language: English
Submitted on: Oct 1, 2023
Accepted on: Jun 26, 2024
Published on: Jul 11, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Aidai Golan, Aniruddha Ramgir, Dominique Lamy, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.