Time course of encoding and maintenance of stereoscopically induced size–distance scaling

References

• Altan, E., & Boyaci, H. (2020). Size aftereffect is non-local. Vision Research, 176(3), 40–47. https://doi.org/10.1016/j.visres.2020.07.006
   PubMedGoogle Scholar
• Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B (Methodological), 57(1), 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
   Web of Science ®Google Scholar
• Ben-Shalom, A., & Ganel, T. (2012). Object representations in visual memory: Evidence from visual illusions. Journal of Vision, 12(7), 15–15. https://doi.org/10.1167/12.7.15
   PubMed Web of Science ®Google Scholar
• Blakemore, C., & Sutton, P. (1969). Size adaptation: A new aftereffect. Science, 166(3902), 245–247. https://doi.org/10.1126/science.166.3902.245
   PubMed Web of Science ®Google Scholar
• Brady, T. F., & Alvarez, G. A. (2011). Hierarchical encoding in visual working memory. Psychological Science, 22(3), 384–392. https://doi.org/10.1177/0956797610397956
   PubMed Web of Science ®Google Scholar
• Chadwick, M. J., Mullally, S. L., & Maguire, E. A. (2013). The hippocampus extrapolates beyond the view in scenes: An fMRI study of boundary extension. Cortex, 49(8), 2067–2079. https://doi.org/10.1016/j.cortex.2012.11.010
   PubMed Web of Science ®Google Scholar
• Chen, N., Chen, Z., & Fang, F. (2020). Functional specialization in human dorsal pathway for stereoscopic depth processing. Experimental Brain Research, 238(11), 2581–2588. https://doi.org/10.1007/s00221-020-05918-4
   PubMed Web of Science ®Google Scholar
• Damme, W. V., & Brenner, E. (1997). The distance used for scaling disparities is the same as the one used for scaling retinal size. Vision Research, 37(6), 757–764. https://doi.org/10.1016/S0042-6989(96)00213-1
   PubMed Web of Science ®Google Scholar
• de Brouwer, A. J., Brenner, E., Medendorp, W. P., & Smeets, J. B. (2014). Time course of the effect of the Muller-Lyer illusion on saccades and perceptual judgments. Journal of Vision, 14(1), 4–4. https://doi.org/10.1167/14.1.4
   PubMed Web of Science ®Google Scholar
• Dwyer, J., Ashton, R., & Broerse, J. (1990). Emmert’s law in the Ames room. Perception, 19(1), 35–41. https://doi.org/10.1068/p190035
   PubMed Web of Science ®Google Scholar
• Fang, F., Boyaci, H., Kersten, D., & Murray, S. O. (2008). Attention-dependent representation of a size illusion in human V1. Current Biology, 18(21), 1707–1712. https://doi.org/10.1016/j.cub.2008.09.025
   PubMed Web of Science ®Google Scholar
• Gregory, R. L. (1997). Princeton science library. Eye and brain: The psychology of seeing (5th ed.). Princeton University Press.
   Google Scholar
• Hegdé, J. (2008). Time course of visual perception: Coarse-to-fine processing and beyond. Progress in Neurobiology, 84(4), 405–1439. https://doi.org/10.1016/j.pneurobio.2007.09.001
   PubMed Web of Science ®Google Scholar
• Kane, D., Guan, P., & Banks, M. S. (2014). The limits of human stereopsis in space and time. Journal of Neuroscience, 34(4), 1397–1408. https://doi.org/10.1523/JNEUROSCI.1652-13.2014
   PubMed Web of Science ®Google Scholar
• Leibowitz, H., Brislin, R., Perlmutrer, L., & Hennessy, R. (1969). Ponzo perspective illusion as a manifestation of space perception. Science, 166(3909), 1174–1176. https://doi.org/10.1126/science.166.3909.1174
   PubMed Web of Science ®Google Scholar
• Li, Z., Tong, M., Chen, S. & Qian, J.* (2021). Effect of attentional selection on working memory for depth in a retro-cueing paradigm. Memory & Cognition, 49(1), 747–757. https://doi.org/10.3758/s13421-020-01123-4.
   PubMedGoogle Scholar
• Luccio, R. (1969). The temporal maximum of Ponzo’s illusion in adults. Giunti Organizzazioni Speciali.
   Google Scholar
• Menz, M. D., & Freeman, R. D. (2003). Stereoscopic depth processing in the visual cortex: A coarse-to-fine mechanism. Nature Neuroscience, 6(1), 59–65. https://doi.org/10.1038/nn986
   PubMed Web of Science ®Google Scholar
• Mon-Williams, M., Tresilian, J. R., McIntosh, R. D., & Milner, D. A. (2001). Monocular and binocular distance cues: Insights from visual form agnosia I (of III). Experimental Brain Research, 139(2), 127–136. https://doi.org/10.1007/s002210000657
   PubMed Web of Science ®Google Scholar
• Oyama, T., & Morikawa, K. (1985). Temporal development of optical illusions. In J. L. McGauph (Ed.), Contemporary psychology: Biological processes and theoretical issues (pp. 385–393). North Holland.
   Google Scholar
• Park, S., Intraub, H., Yi, D. J., Widders, D., & Chun, M. (2007). Beyond the edges of a view: Boundary extension in human scene-selective visual cortex. Neuron, 54(2), 335–342. https://doi.org/10.1016/j.neuron.2007.04.006
   PubMed Web of Science ®Google Scholar
• Pooresmaeili, A., Arrighi, R., Biagi, L., Morrone, M.C., (2013). Blood oxygen level-dependent activation of the primary visual cortex predicts size adaptation illusion. Journal of Neuroscience, 33(40), 15999–16008. http://doi.org/10.1523/JNEUROSCI.1770-13.2013
   PubMed Web of Science ®Google Scholar
• Qian, J., Li, Z., Zhang, K., & Lei, Q. (2020). Relation matters: Relative depth order is stored in working memory for depth. Psychonomic Bulletin & Review, 27(2), 341–349. https://doi.org/10.3758/s13423-019-01705-7
   PubMed Web of Science ®Google Scholar
• Qian, J., Liu, S., & Lei, Q. (2016). Illusory distance modulates perceived size of afterimage despite the disappearance of depth cues. PLoS One, 11(7), e0159228. https://doi.org/10.1371/journal.pone.0159228
   PubMed Web of Science ®Google Scholar
• Qian, J., & Petrov, Y. (2012). Startrek illusion – general object constancy phenomenon? Journal of Vision, 12(2): 15, 1–115. https://doi.org/10.1167/12.2.15
   PubMed Web of Science ®Google Scholar
• Qian, J. & Petrov, Y. (2013). Depth perception in the framework of General Object Constancy. Journal of Vision, 13(11):7, 1–1. https://doi.org/10.1167/13.11.1
   PubMed Web of Science ®Google Scholar
• Qian, J., & Petrov, Y. (2016). A depth illusion supports the model of General Object Constancy: Size and depth constancies related by a same distance-scaling factor. Vision Research, 129, 77–86. https://doi.org/10.1016/j.visres.2016.09.015
   PubMed Web of Science ®Google Scholar
• Qian, J., & Yazdanbakhsh, A. (2015). A neural model of distance-dependent percept of object size constancy. PLoS One, 10(7), e0129377. https://doi.org/10.1371/journal.pone.0129377
   PubMed Web of Science ®Google Scholar
• Qian, J., & Zhang, K. (2019). Working memory for stereoscopic depth is limited and imprecise – evidence from a change detection task. Psychonomic Bulletin & Review, 26(5), 1657–1665. https://doi.org/10.3758/s13423-019-01640-7
   PubMed Web of Science ®Google Scholar
• Reeves, A., & Lei, Q. (2017). Short-term visual memory for location in depth: A U-shaped function of time. Attention, Perception, & Psychophysics, 79(7), 1917–1932. https://doi.org/10.3758/s13414-017-1366-x
   PubMed Web of Science ®Google Scholar
• Reeves, A., & Qian, J. (2021). The Short-Term Retention of Depth. Vision, 5(4), 59. http://doi.org/10.3390/vision5040059
   Google Scholar
• Reynolds, R. I. (1978). The microgenetic development of the Ponzo and Zöllner illusions. Perception & Psychophysics, 23(3), 231–236. http://doi.org/10.3758/BF03204131
   PubMedGoogle Scholar
• Roelfsema, P. R. (2006). Cortical algorithms for perceptual grouping. Annual Review of Neuroscience, 29(1), 203–227. https://doi.org/10.1146/annurev.neuro.29.051605.112939
   PubMedGoogle Scholar
• Schmidt, F., & Haberkamp, A. (2016). Temporal processing characteristics of the Ponzo illusion. Psychological Research, 80(2), 273–285. https://doi.org/10.1007/s00426-015-0659-8
   PubMed Web of Science ®Google Scholar
• Shen, M., Xu, H., Zhang, H., Shui, R., Zhang, M., & Zhou, J. (2015). The working memory Ponzo illusion: Involuntary integration of visuospatial information stored in visual working memory. Cognition, 141, 26–35. https://doi.org/10.1016/j.cognition.2015.04.010
   PubMed Web of Science ®Google Scholar
• Sperandio, I., & Chouinard, P. A. (2015). The mechanisms of size constancy. Multisensory Research, 28(3–4), 253–283. https://doi.org/10.1163/22134808-00002483
   PubMed Web of Science ®Google Scholar
• Sperandio, I., Chouinard, P. A., & Goodale, M. A. (2012). Retinotopic activity in V1 reflects the perceived and not the retinal size of an afterimage. Nature Neuroscience, 15(4), 540–542. https://doi.org/10.1038/nn.3069
   PubMed Web of Science ®Google Scholar
• Tanaka, S., & Fujita, I. (2015). Computation of object size in visual cortical area V4 as a neural basis for size constancy. Journal of Neuroscience, 35(34), 12033–12046. https://doi.org/10.1523/JNEUROSCI.2665-14.2015
   PubMed Web of Science ®Google Scholar
• Tiurina, N. A., & Utochkin, I. S. (2019). Ensemble perception in depth: Correct size-distance rescaling of multiple objects before averaging. Journal of Experimental Psychology: General, 148(4), 728–738. http://doi.org/10.1037/xge0000485
   PubMed Web of Science ®Google Scholar
• Tovée, M. J. (1996). An introduction to the visual system. Cambridge University Press.
   Google Scholar
• Urvoy, M., Barkowsky, M., & Le Callet, P. (2013). How visual fatigue and discomfort impact 3D-TV quality of experience: a comprehensive review of technological, psychophysical, and psychological factors. annals of telecommunications - annales des télécommunications, 68(11-12), 641–655. http://doi.org/10.1007/s12243-013-0394-3
   Web of Science ®Google Scholar
• Utochkin & , I. S., & Brady, T. F. (2020). Individual representations in visual working memory inherit ensemble properties. Journal of Experimental Psychology: Human Perception and Performance, 46(5), 458–473. https://doi.org/10.1037/xhp0000727
   PubMed Web of Science ®Google Scholar
• van Zoest, W., Hunt, A. R., & Kingstone, A. (2010). Representations in visual cognition. Current Directions in Psychological Science, 19(2), 116–120. https://doi.org/10.1177/0963721410363895
   Web of Science ®Google Scholar
• Wallach, H., & Zuckerman, C. (1963). The Constancy of Stereoscopic Depth. The American Journal of Psychology, 76(3), 404–412. http://doi.org/10.2307/1419781.
   PubMed Web of Science ®Google Scholar
• Watson, A. B., & Pelli, D. G. (1983). QUEST: A Bayesian adaptive psychometric method. Perception & Psychophysics, 33(2), 113–120. https://doi.org/10.3758/BF03202828
   PubMed Web of Science ®Google Scholar
• Weidner, R., Plewan, T., Chen, Q., Buchner, A., Weiss, P. H., Fink, G. R., (2014). The moon illusion and size–distance scaling – evidence for shared neural patterns. Journal of Cognitive Neuroscience, 26(8), 1871–1882. https://doi.org/10.1162/jocn_a_00590
   PubMed Web of Science ®Google Scholar
• Zhang, K., Gao, D., & Qian, J. (2021). Overestimation and contraction biases of depth information stored in working memory depend on spatial configuration. British Journal of Psychology, 112(1), 230–246. https://doi.org/10.1111/bjop.12456
   PubMed Web of Science ®Google Scholar
• Zhang, K., & Qian, J*. (2022). The role of ensemble average differs in working memory for depth and planar information. Journal of Vision, 22(6), 1–16. https://doi.org/10.1167/jov.22.6.4.
   PubMed Web of Science ®Google Scholar