References
- Awh, E., & Jonides, J. (2001). Overlapping mechanisms of attention and spatial working memory. Trends in Cognitive Sciences, 5(3), 119–126. http://doi.org/10.1016/S1364-6613(00)01593-X doi: 10.1016/S1364-6613(00)01593-X
- Awh, E., Jonides, J., & Reuter-Lorenz, P. A. (1998). Rehearsal in spatial working memory. Journal of Experimental Psychology: Human Perception and Performance, 24(3), 780–790.
- Awh, E., Jonides, J., Smith, E. E., Buxton, R. B., Frank, L. R., Love, T., … Gmeindl, L. (1999). Rehearsal in spatial working memory: Evidence from neuroimaging. Psychological Science, 10(5), 433–437. http://doi.org/10.1111/1467-9280.00182 doi: 10.1111/1467-9280.00182
- Baddeley, A. (1992). Working memory. Science, 255, 556–559. doi: 10.1126/science.1736359
- 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). New York: Academic Press.
- Binda, P., & Murray, S. O. (2015). Spatial attention increases the pupillary response to light changes. Journal of Vision, 15(2), 1–1. http://doi.org/10.1167/15.2.1 doi: 10.1167/15.2.1
- Binda, P., Pereverzeva, M., & Murray, S. O. (2013). Attention to bright surfaces enhances the pupillary light reflex. Journal of Neuroscience, 33(5), 2199–2204. http://doi.org/10.1523/JNEUROSCI.3440-12.2013 doi: 10.1523/JNEUROSCI.3440-12.2013
- Blom, T., Mathôt, S., Olivers, C. N. L., & Van der Stigchel, S. (2016). The pupillary light response reflects encoding, but not maintenance, in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 42(11), 1716–1723.
- Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10(4), 433–436. doi: 10.1163/156856897X00357
- Cornelissen, F. W., Peters, E. M., & Palmer, J. (2002). The eyelink toolbox: Eye tracking with MATLAB and the Psychophysics Toolbox. Behavior Research Methods, Instruments, & Computers, 34(4), 613–617. http://doi.org/10.3758/BF03195489 doi: 10.3758/BF03195489
- D’Esposito, M., & Postle, B. R. (2015). The cognitive neuroscience of working memory. Annual Review of Neuroscience, 66, 115–142. http://doi.org/10.1146/annurev-psych-010814-015031
- Fuster, J. M., & Alexander, G. E. (1971). Neuron activity related to short-term memory. Science, 173(3997), 652–654. doi: 10.1126/science.173.3997.652
- Heinke, D., & Humphreys, G. W. (2003). Attention, spatial representation, and visual neglect: Simulating emergent attention and spatial memory in the selective attention for identification model (SAIM). Psychological Review, 110(1), 29–87. http://doi.org/10.1016/j.cviu.2004.10.010 doi: 10.1037/0033-295X.110.1.29
- Herwig, A., Beisert, M., & Schneider, W. X. (2010). On the spatial interaction of visual working memory and attention: Evidence for a global effect from memory-guided saccades. Journal of Vision, 10(58), 1–10. http://doi.org/10.1167/10.5.8.Introduction
- Hess, E., & Polt, J. M. (1964). Pupil size in relation to mental activity during simple problem-solving. Science, 143(3611), 1190–1192. doi: 10.1126/science.143.3611.1190
- Hoeks, B., & Levelt, W. J. M. (1993). Pupillary dilation as a measure of attention: A quantitative system analysis. Behavior Research Methods, Instruments, & Computers, 25(1), 16–26. http://doi.org/10.3758/BF03204445 doi: 10.3758/BF03204445
- Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999). David Draper and E. I. George, and a rejoinder by the authors. Statistical Science, 14(4), 382–417. http://doi.org/10.2307/2676803 doi: 10.1214/ss/1009212519
- JASP Team. (2016). JASP (Version 0.8.0.1) [Computer software].
- Jeffreys, H. (1961). Theory of probability (3rd ed.). Oxford: Oxford University Press.
- Kahneman, D., & Beatty, J. (1966). Pupil diameter and load on memory. Science, 154(3756), 1583–1585. doi: 10.1126/science.154.3756.1583
- Kleiner, M., Brainard, D. H., & Pelli, D. G. (2007). What’s new in Psychtoolbox-3. Perception, 36(14), 1–16.
- Lee, M. D., & Wagenmakers, E.-J. (2013). Bayesian cognitive modeling: A practical course (1st ed.). Cambridge: Cambridge University Press. http://doi.org/10.1017/CBO9781139087759
- Lepsien, J., Griffin, I. C., Devlin, J. T., & Nobre, A. C. (2005). Directing spatial attention in mental representations: Interactions between attentional orienting and working-memory load. NeuroImage, 26(3), 733–743. http://doi.org/10.1016/j.neuroimage.2005.02.026 doi: 10.1016/j.neuroimage.2005.02.026
- Lewis-Peacock, J. A., Drysdale, A. T., Oberauer, K., & Postle, B. R. (2012). Neural evidence for a distinction between short-term memory and the focus of attention. Journal of Cognitive Neuroscience, 24(1), 61–79. http://doi.org/10.1162/jocn_a_00140 doi: 10.1162/jocn_a_00140
- Mathôt, S. (2013). Pupil size reconstruction examples. https://dx.doi.org/10.6084/m9.figshare.688002.v1
- Mathôt, S., Dalmaijer, E., Grainger, J., & Van der Stigchel, S. (2014). The pupillary light response reflects exogenous attention and inhibition of return. Journal of Vision, 14, 7–7. http://doi.org/10.1167/14.14.7 doi: 10.1167/14.14.7
- Mathôt, S., van der Linden, L., Grainger, J., & Vitu, F. (2013). The pupillary light response reveals the focus of covert visual attention. PLoS ONE, 8(10), e78168. http://doi.org/10.1371/journal.pone.0078168 doi: 10.1371/journal.pone.0078168
- Mathôt, S., Melmi, J. B., van der Linden, L., & Van der Stigchel, S. (2016). The mind-writing pupil: A human-computer interface based on decoding of covert attention through pupillometry. PLoS ONE, 11(2), 1–15. http://doi.org/10.1371/journal.pone.0148805 doi: 10.1371/journal.pone.0148805
- Mathôt, S., & Van der Stigchel, S. (2015). New light on the mind’s eye: The pupillary light response as active vision. Psychological Review, 24(5), 374–378.
- Matlab. (2016b). [Computer Software]. Natick, MA: The MathWorks.
- van Moorselaar, D., Theeuwes, J., & Olivers, C. N. L. (2016). Learning changes the attentional status of prospective memories. Psychonomic Bulletin & Review, 1483–1490. http://doi.org/10.3758/s13423-016-1008-7 doi: 10.3758/s13423-016-1008-7
- Morey, R. D., Rouder, J. N., & Jamil, T. (2015). BayesFactor: Computation of Bayes Factors for common designs. R package version 0.9.12-2. Retrieved from https://CRAN.R-project.org/package=BayesFactor
- Naber, M., Alvarez, G. A., & Nakayama, K. (2013). Tracking the allocation of attention using human pupillary oscillations. Frontiers in Psychology, 4, 1–12. http://doi.org/10.3389/fpsyg.2013.00919 doi: 10.3389/fpsyg.2013.00919
- Naber, M., & Nakayama, K. (2013). Pupil responses to high-level image content. Journal of Vision, 13(2013), 1–8. http://doi.org/10.1167/13.6.7
- Nobre, A., Correa, A., & Coull, J. (2007). The hazards of time. Current Opinion in Neurobiology, 17(4), 465–470. http://doi.org/10.1016/j.conb.2007.07.006 doi: 10.1016/j.conb.2007.07.006
- Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10(4), 437–442. doi: 10.1163/156856897X00366
- Postle, B. R. (2006). Working memory as an emergent property of the mind and brain. Neuroscience, 139(1), 23–38. http://doi.org/10.1016/j.neuroscience.2005.06.005 doi: 10.1016/j.neuroscience.2005.06.005
- Rouder, J. N., Morey, R. D., Speckman, P. L., & Province, J. M. (2012). Default Bayes factors for ANOVA designs. Journal of Mathematical Psychology, 56(5), 356–374. http://doi.org/10.1016/j.jmp.2012.08.001 doi: 10.1016/j.jmp.2012.08.001
- Rouder, J. N., Morey, R. D., Verhagen, J., Swagman, A. R., & Wagenmakers, E.-J. (2016). Bayesian analysis of factorial designs. Psychological Methods, http://doi.org/10.1037/met0000057
- 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. http://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. http://doi.org/10.1016/j.tics.2008.05.007 doi: 10.1016/j.tics.2008.05.007
- Spiegelhalter, D., & Rice, K. (2009). Bayesian statistics. http://doi.org/10.4249/scholarpedia.5230
- Stokes, M. G. (2015). “Activity-silent” working memory in prefrontal cortex: A dynamic coding framework. Trends in Cognitive Sciences, 19(7), 394–405. http://doi.org/10.1016/j.tics.2015.05.004 doi: 10.1016/j.tics.2015.05.004
- Unsworth, N., & Robison, M. K. (2017). Pupillary correlates of covert shifts of attention during working memory maintenance. Attention, Perception, & Psychophysics, 1(2013), http://doi.org/10.3758/s13414-016-1272-7
- Van der Stigchel, S., Merten, H., Meeter, M., & Theeuwes, J. (2007). The effects of a task-irrelevant visual event on spatial working memory. Psychonomic Bulletin & Review, 14(6), 1066–1071. http://doi.org/10.3758/BF03193092 doi: 10.3758/BF03193092
- Watson, A. B., & Pelli, D. G. (1983). QUEST: A Bayesian adaptive psychometric method. Perception & Psychophysics, 33(2), 113–120. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/9473404 doi: 10.3758/BF03202828