References
- Adam, K. C. S., Mance, I., Fukuda, K., & Vogel, E. K. (2015). The contribution of attentional lapses to individual differences in visual working memory capacity. Journal of Cognitive Neuroscience, 27(8), 1601–1616. DOI: 10.1162/jocn_a_00811
- Adam, K. C. S., Robison, M. K., & Vogel, E. K. (2018). Contralateral Delay Activity Tracks Fluctuations in Working Memory Performance. Journal of Cognitive Neuroscience, 30(9), 1229–1240. DOI: 10.1162/jocn_a_01233
- Aly, M., & Turk-Browne, N. B. (2017). How Hippocampal Memory Shapes, and Is Shaped by, Attention. In The Hippocampus from Cells to Systems (pp. 369–403). DOI: 10.1007/978-3-319-50406-3_12
- Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011). A taxonomy of external and internal attention. Annual Review of Psychology, 62(1), 73–101. DOI: 10.1146/annurev.psych.093008.100427
- Cohen, M. R., & Maunsell, J. H. R. (2011). When attention wanders: how uncontrolled fluctuations in attention affect performance. The Journal of Neuroscience, 31(44), 15802–15806. DOI: 10.1523/JNEUROSCI.3063-11.2011
- deBettencourt, M. T., Cohen, J. D., Lee, R. F., Norman, K. A., & Turk-Browne, N. B. (2015). Closed-loop training of attention with real-time brain imaging. Nature Neuroscience, 18(3), 470–475. DOI: 10.1038/nn.3940
- deBettencourt, M. T., Keene, P. A., Awh, E., & Vogel, E. K. (2019). Real-time triggering reveals concurrent lapses of attention and memory. Nature Human Behaviour. DOI: 10.1038/s41562-019-0606-6
- deBettencourt, M. T., Norman, K. A., & Turk-Browne, N. B. (2018). Forgetting from lapses of sustained attention. Psychonomic Bulletin & Review, 25(2), 605–611. DOI: 10.3758/s13423-017-1309-5
- Ergenoglu, T., Demiralp, T., Bayraktaroglu, Z., Ergen, M., Beydagi, H., & Uresin, Y. (2004). Alpha rhythm of the EEG modulates visual detection performance in humans. Brain Research. Cognitive Brain Research, 20(3), 376–383. DOI: 10.1016/j.cogbrainres.2004.03.009
- Esterman, M., Noonan, S. K., Rosenberg, M., & DeGutis, J. (2013). In the zone or zoning out? Tracking behavioral and neural fluctuations during sustained attention. Cerebral Cortex, 23(11), 2712–2723. DOI: 10.1093/cercor/bhs261
- Esterman, M., Reagan, A., Liu, G., Turner, C., & DeGutis, J. (2014). Reward reveals dissociable aspects of sustained attention. Journal of Experimental Psychology. General, 143(6), 2287–2295. DOI: 10.1037/xge0000019
- Esterman, M., Rosenberg, M. D., & Noonan, S. K. (2014). Intrinsic fluctuations in sustained attention and distractor processing. Journal of Neuroscience, 34(5), 1724–1730. DOI: 10.1523/JNEUROSCI.2658-13.2014
- Esterman, M., & Rothlein, D. (2019). Models of sustained attention. Current Opinion in Psychology, 29, 174–180. DOI: 10.1016/j.copsyc.2019.03.005
- Guilford, J. P. (1927). “Fluctuations of Attention” with Weak Visual Stimuli. The American Journal of Psychology, 38(4), 534–583. DOI: 10.2307/1414394
- Hakim, N., Adam, K. C. S., Gunseli, E., Awh, E., & Vogel, E. K. (2019). Dissecting the Neural Focus of Attention Reveals Distinct Processes for Spatial Attention and Object-Based Storage in Visual Working Memory. Psychological Science, 30(4), 526–540. DOI: 10.1177/0956797619830384
- Mackworth, N. H. (1948). The breakdown of vigilance during prolonged visual search. Quarterly Journal of Experimental Psychology, 1, 6–21. DOI: 10.1080/17470214808416738
- Mathewson, K. E., Gratton, G., Fabiani, M., Beck, D. M., & Ro, T. (2009). To see or not to see: prestimulus alpha phase predicts visual awareness. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 29(9), 2725–2732. DOI: 10.1523/JNEUROSCI.3963-08.2009
- Murray, A. M., Nobre, A. C., & Stokes, M. G. (2011). Markers of preparatory attention predict visual short-term memory performance. Neuropsychologia, 49(6), 1458–1465. DOI: 10.1016/j.neuropsychologia.2011.02.016
- Oberauer, K. (2019). Working Memory and Attention – A Conceptual Analysis and Review. Journal of Cognition, 2(1):
36 , pp. 1–23. DOI: 10.5334/joc.58 - Reason, J. T. (1984).
Lapses of Attention in Everyday Life . In R. Parasuraman & D. R. Davies (Eds.), Varieties of Attention (pp. 515–49). Orlando, Florida: Academic Press. - Rosenberg, M. D., Finn, E. S., Constable, R. T., & Chun, M. M. (2015). Predicting moment-to-moment attentional state. NeuroImage, 114, 249–256. DOI: 10.1016/j.neuroimage.2015.03.032
- Sheremata, S. L., Somers, D. C., & Shomstein, S. (2018). Visual Short-Term Memory Activity in Parietal Lobe Reflects Cognitive Processes beyond Attentional Selection. Journal of Neuroscience, 38(6), 1511–1519. DOI: 10.1523/JNEUROSCI.1716-17.2017
- Unsworth, N., Robison, M. K., & Miller, A. L. (2018). Pupillary Correlates of Fluctuations in Sustained Attention. Journal of Cognitive Neuroscience, 30(9), 1241–1253. DOI: 10.1162/jocn_a_01251
- Wolfe, J. M., Horowitz, T. S., & Kenner, N. M. (2005). Cognitive psychology: Rare items often missed in visual searches. Nature, 435(7041), 439–440. DOI: 10.1038/435439a