References
- Albers, A. M., Kok, P., Toni, I., Dijkerman, H. C., & de Lange, F. P. (2013). Shared representations for working memory and mental imagery in early visual cortex. Current Biology, 23(15), 1427–1431. https://doi.org/10.1016/j.cub.2013.05.065
- 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 (Statistical Methodology), 57, 289–300.
- Bettencourt, K. C., & Xu, Y. (2015). Understanding the nature of visual short-term memory representation in human parietal cortex. Journal of Vision, 15(12), 292. https://doi.org/10.1167/15.12.292
- Bettencourt, K. C., & Xu, Y. (2016a). Decoding the content of visual short-term memory under distraction in occipital and parietal areas. Nature Neuroscience, 19(1), 150–157. https://doi.org/10.1038/nn.4174
- Bettencourt, K. C., & Xu, Y. (2016b). Understanding location- and feature-based processing along the human intraparietal sulcus. Journal of Neurophysiology, 116(3), 1488–1497. https://doi.org/10.1152/jn.00404.2016
- Bracci, S., Daniels, N., & Op de Beeck, H. P. (2017). Task context overrules object- and category-related representational content in the human parietal cortex. Cerebral Cortex, 27, 310–321. https://doi.org/10.1093/cercor/bhw419
- Cattaneo, Z., Vecchi, T., Pascual-Leone, A., & Silvanto, J. (2009). Contrasting early visual cortical activation states causally involved in visual imagery and short-term memory. European Journal of Neuroscience, 30(7), 1393–1400. https://doi.org/10.1111/j.1460-9568.2009.06911.x
- Christophel, T. B., Allefeld, C., Endisch, C., & Haynes, J. D. (2017). View-independent working memory representations of artificial shapes in prefrontal and posterior regions of the human brain. Cerebral Cortex, 28(6), 2146–2161. https://doi.org/10.1093/cercor/bhx119
- Christophel, T. B., Cichy, R. M., Hebart, M. N., & Haynes, J. D. (2015). Parietal and early visual cortices encode working memory content across mental transformations. NeuroImage, 106, 198–206. https://doi.org/10.1016/j.neuroimage.2014.11.018
- Christophel, T. B., & Haynes, J. D. (2014). Decoding complex flow-field patterns in visual working memory. NeuroImage, 91, 43–51. https://doi.org/10.1016/j.neuroimage.2014.01.025
- Christophel, T. B., Hebart, M. N., & Haynes, J. D. (2012). Decoding the contents of visual short-term memory from human visual and parietal cortex. Journal of Neuroscience, 32(38), 12983–12989. https://doi.org/10.1523/JNEUROSCI.0184-12.2012
- Christophel, T. B., Iamshchinina, P., Yan, C., Allefeld, C., & Haynes, J. D. (2018). Cortical specialization for attended versus unattended working memory. Nature Neuroscience, 21(4), 494–496. https://doi.org/10.1038/s41593-018-0094-4
- Christophel, T. B., Klink, P. C., Spitzer, B., Roelfsema, P. R., & Haynes, J. D. (2017). The distributed nature of working memory. Trends in Cognitive Sciences, 21(2), 111–124. https://doi.org/10.1016/j.tics.2016.12.007
- D’Esposito, M., & Postle, B. R. (2015). The cognitive neuroscience of working memory. Annual Review of Psychology, 66(1), 115–142. https://doi.org/10.1146/annurev-psych-010814-015031
- Emrich, S. M., Riggall, A. C., LaRocque, J. J., & Postle, B. R. (2013). Distributed patterns of activity in sensory cortex reflect the precision of multiple items maintained in visual short-term memory. Journal of Neuroscience, 33(15), 6516–6523. https://doi.org/10.1523/JNEUROSCI.5732-12.2013
- Ester, E. F., Anderson, D. E., Serences, J. T., & Awh, E. (2013). A neural measure of precision in visual working memory. Journal of Cognitive Neuroscience, 25(5), 754–761. https://doi.org/10.1162/jocn_a_00357
- Ester, E. F., Rademaker, R. L., & Sprague, T. S. (2016). How do visual and parietal cortex contribute to visual short-term memory? eNeuro, 3(2), e0041–e0016. https://doi.org/10.1523/ENEURO.0041-16.2016
- Ester, E. F., Serences, J. T., & Awh, E. (2009). Spatially global representations in human primary visual cortex during working memory maintenance. Journal of Neuroscience, 29(48), 15258–15265. https://doi.org/10.1523/JNEUROSCI.4388-09.2009
- Ester, E. F., Sprague, T. C., & Serences, J. T. (2015). Parietal and frontal cortex encode stimulus-specific mnemonic representations during visual working memory. Neuron, 87(4), 893–905. https://doi.org/10.1016/j.neuron.2015.07.013
- Fuster, J. M. (2001). The prefrontal cortex – an update: Time is of the essence. Neuron, 30(2), 319–333. https://doi.org/10.1016/S0896-6273(01)00285-9
- Gayet, S., Paffen, C. L. E., & Van der Stigchel, S. (2018). Visual working memory storage recruits sensory processing areas. Trends in Cognitive Sciences, 22(3), 189–190. https://doi.org/10.1016/j.tics.2017.09.011
- Goldman-Rakic, P. S. (1995). Cellular basis of working memory. Neuron, 14(3), 477–485. https://doi.org/10.1016/0896-6273(95)90304-6
- Grubert, A., & Eimer, M. (2018). The time course of target template activation processes during preparation for visual search. The Journal of Neuroscience, 38(44), 9527–9538. https://doi.org/10.1523/JNEUROSCI.0409-18.2018
- Harrison, S. A., & Tong, F. (2009). Decoding reveals the contents of visual working memory in early visual areas. Nature, 458(7238), 632–635. https://doi.org/10.1038/nature07832
- Jeong, S. K., & Xu, Y. (2013). Neural representation of targets and distractors during object individuation and identification. Journal of Cognitive Neuroscience, 25(1), 117–126. https://doi.org/10.1162/jocn_a_00298
- Jeong, S. K., & Xu, Y. (2016). Behaviorally relevant abstract object identity representation in the human parietal cortex. The Journal of Neuroscience, 36(5), 1607–1619. https://doi.org/10.1523/JNEUROSCI.1016-15.2016
- Jeong, S. K., & Xu, Y. (2017). Task-context dependent linear representation of multiple visual objects in human parietal cortex. Journal of Cognitive Neuroscience, 29(10), 1778–1789. https://doi.org/10.1162/jocn_a_01156
- Lawrence, S. J. D., van Mourik, T., Kok, P., Koopmans, P. J., Norris, D. G., & de Lange, F. P. (2018). Laminar organization of working memory signals in human visual cortex. Current Biology, 28(21), 3435–3440. https://doi.org/10.1016/j.cub.2018.08.043
- Leavitt, M. L., Mendoza-Halliday, D., & Martinez-Trujillo, J. C. (2017). Sustained activity encoding working memories: Not fully distributed. Trends in Neurosciences, 40(6), 328–346. https://doi.org/10.1016/j.tins.2017.04.004
- Liebe, S., Hoerzer, G. M., Logothetis, N. K., & Rainer, G. (2012). Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance. Nature Neuroscience, 15(3), 456–462. https://doi.org/10.1038/nn.3038
- Lorenc, E. S., Sreenivasan, K. K., Nee, D. E., Vandenbroucke, A. R. E., & D’Esposito, M. (2018). Flexible coding of visual working memory representations during distraction. The Journal of Neuroscience, 38(23), 5267–5276. https://doi.org/10.1523/JNEUROSCI.3061-17.2018
- Markov, N. T., Misery, P., Falchier, A., Lamy, C., Vezoli, J., Quilodran, R., Gariel, M. A., Giroud, P., Ercsey-Ravasz, M., Pilaz, L. J., Huissoud, C., Barone, P., Dehay, C., Toroczkai, Z., Van Essen, D. C., & Kennedy, H. (2011). Weight consistency specifies regularities of macaque cortical networks. Cerebral Cortex, 21(6), 1254–1272. https://doi.org/10.1093/cercor/bhq201
- Masse, N. Y., Rosen, M. C., & Freedman, D. J. (2020). Reevaluating the role of persistent neural activity in short-term memory. Trends in Cognitive Sciences, 24(3), 242–258. https://doi.org/10.1016/j.tics.2019.12.014
- Mendoza-Halliday, D., Torres, S., & Martinez-Trujillo, J. C. (2014). Sharp emergence of feature-selective sustained activity along the dorsal visual pathway. Nature Neuroscience, 17(9), 1255–1262. https://doi.org/10.1038/nn.3785
- Miller, E. K., & Cohen, J. D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24(1), 167–202. https://doi.org/10.1146/annurev.neuro.24.1.167
- Nobre, A. C., & Van Ede, F. (2018). Anticipated moments: Temporal structure in attention. Nature Reviews Neuroscience, 19(1), 34–48. https://doi.org/10.1038/nrn.2017.141
- Olmos-Solis, K., van Loon, A. M., Los, S. A., & Olivers, C. N. (2017). Oculomotor measures reveal the temporal dynamics of preparing for search. Progress in Brain Research, 236, 1–23. https://doi.org/10.1016/bs.pbr.2017.07.003
- Rademaker, R. L., Chunharas, C., & Serences, J. T. (2019). Coexisting representations of sensory and mnemonic information in human visual cortex. Nature Neuroscience, 22(8), 1336–1344. https://doi.org/10.1038/s41593-019-0428-x
- Rademaker, R. L., van de Ven, V. G., Tong, F., & Sack, A. T. (2017). The impact of early visual cortex transcranial magnetic stimulation on visual working memory precision and guess rate. PLoS One, 12, e0175230. doi: 10.1371/journal.pone.0175230
- Rao, S. C., Rainer, G., & Miller, E. K. (1997). Integration of what and where in the primate prefrontal cortex. Science, 276(5313), 821–824. https://doi.org/10.1126/science.276.5313.821
- Riggall, A. C., & Postle, B. R. (2012). The relationship between working memory storage and elevated activity as measured with functional magnetic resonance imaging. Journal of Neuroscience, 32(38), 12990–12998. https://doi.org/10.1523/JNEUROSCI.1892-12.2012
- Riley, M. R., & Constantinidis, C. (2016). Role of prefrontal persistent activity in working memory. Frontiers in Systems Neuroscience, 9, 181. https://doi.org/10.3389/fnsys.2015.00181
- Serences, J. T. (2016). Neural mechanisms of information storage in visual short-term memory. Vision Research, 128, 53–67. https://doi.org/10.1016/j.visres.2016.09.010
- Serences, J. T., Ester, E. F., Vogel, E. K., & Awh, E. (2009). Stimulus-specific delay activity in human primary visual cortex. Psychological Science, 20(2), 207–214. https://doi.org/10.1111/j.1467-9280.2009.02276.x
- Sereno, A. B., & Maunsell, J. H. (1998). Shape selectivity in primate lateral intraparietal cortex. Nature, 395(6701), 500–503. https://doi.org/10.1038/26752
- Sprague, T. C., Ester, E. F., & Serences, J. T. (2014). Reconstructions of information in visual spatial working memory degrade with memory load. Current Biology, 24(18), 2174–2180. https://doi.org/10.1016/j.cub.2014.07.066
- Sprague, T. C., Ester, E. F., & Serences, J. T. (2016). Restoring latent visual working memory representations in human cortex. Neuron, 91(3), 694–707. https://doi.org/10.1016/j.neuron.2016.07.006
- Sreenivasan, K. K., & Jha, A. P. (2007). Selective attention supports working memory maintenance by modulating perceptual processing of distractors. Journal of Cognitive Neuroscience, 19(1), 32–41. https://doi.org/10.1162/jocn.2007.19.1.32
- Teng, C., & Kravitz, D. J. (2019). Visual working memory directly alters perception. Nature Human Behaviour, 3(8), 827–836. https://doi.org/10.1038/s41562-019-0640-4
- Todd, J. J., & Marois, R. (2004). Capacity limit of visual short-term memory in human posterior parietal cortex. Nature, 428(6984), 751–754. https://doi.org/10.1038/nature02466
- Todd, J. J., & Marois, R. (2005). Posterior parietal cortex activity predicts individual differences in visual short-term memory capacity. Cognitive, Affective, & Behavioral Neuroscience, 5(2), 144–155. https://doi.org/10.3758/CABN.5.2.144
- van de Ven, V., Jacobs, C., & Sack, A. T. (2012). Topographic contribution of early visual cortex to short term memory consolidation: A transcranial magnetic stimulation study. Journal of Neuroscience, 32(1), 4–11. https://doi.org/10.1523/JNEUROSCI.3261-11.2012
- van Ede, F., Niklaus, M., & Nobre, A. C. (2017). Temporal expectations guide dynamic prioritization in visual working memory through attenuated α oscillations. The Journal of Neuroscience, 37(2), 437–445. https://doi.org/10.1523/JNEUROSCI.2272-16.2016
- van Kerkoerle, T., Self, M. W., & Roelfsema, P. R. (2017). Layer-specificity in the effects of attention and working memory on activity in primary visual cortex. Nature Communications, 8(1), 13804. https://doi.org/10.1038/ncomms13804
- van Lamsweerde, A. E., & Johnson, J. S. (2017). Assessing the effect of early visual cortex transcranial magnetic stimulation on working memory consolidation. Journal of Cognitive Neuroscience, 29(7), 1226–1238. https://doi.org/10.1162/jocn_a_01113
- Vaziri-Pashkam, M., Taylor, J., & Xu, Y. (2019). Spatial frequency tolerant visual object representations in the human ventral and dorsal visual processing pathways. Journal of Cognitive Neuroscience, 31(1), 49–63. https://doi.org/10.1162/jocn_a_01335
- Vaziri-Pashkam, M., & Xu, Y. (2017). Goal-directed visual processing differentially impacts human ventral and dorsal visual representations. The Journal of Neuroscience, 37(36), 8767–8782. https://doi.org/10.1523/JNEUROSCI.3392-16.2017
- Vaziri-Pashkam, M., & Xu, Y. (2019). An information-driven 2-pathway characterization of occipitotemporal and posterior parietal visual object representations. Cerebral Cortex, 29(5), 2034–2050. https://doi.org/10.1093/cercor/bhy080
- Xu, Y. (2007). The role of the superior intra-parietal sulcus in supporting visual short-term memory for multi-feature objects. Journal of Neuroscience, 27(43), 11676–11686. https://doi.org/10.1523/JNEUROSCI.3545-07.2007
- Xu, Y. (2009). Distinctive neural mechanisms supporting visual object individuation and identification. Journal of Cognitive Neuroscience, 21(3), 511–519. https://doi.org/10.1162/jocn.2008.21024
- Xu, Y. (2010). The neural fate of task-irrelevant features in object-based processing. Journal of Neuroscience, 30(42), 14020–14028. https://doi.org/10.1523/JNEUROSCI.3011-10.2010
- Xu, Y. (2017). Reevaluating the sensory account of visual working memory storage. Trends in Cognitive Sciences, 21(10), 794–815. https://doi.org/10.1016/j.tics.2017.06.013
- Xu, Y. (2018a). Sensory cortex is nonessential in working memory storage. Trends in Cognitive Sciences, 22(3), 192–193. https://doi.org/10.1016/j.tics.2017.12.008
- Xu, Y. (2018b). The posterior parietal cortex in adaptive visual processing. Trends in Neurosciences, 41(11), 806–822. https://doi.org/10.1016/j.tins.2018.07.012
- Xu, Y. (2018c). A tale of two visual systems: Invariant and adaptive visual information representations in the primate brain. Annual Review of Vision Science, 4(1), 311–336. https://doi.org/10.1146/annurev-vision-091517-033954
- Xu, Y., & Chun, M. M. (2006). Dissociable neural mechanisms supporting visual short-term memory for objects. Nature, 440(7080), 91–95. https://doi.org/10.1038/nature04262
- Xu, Y., & Chun, M. M. (2007). Visual grouping in human parietal cortex. Proceedings of the National Academy of Sciences, 104(47), 18766–18771. https://doi.org/10.1073/pnas.0705618104
- Xu, Y., & Jeong, S. (2015). The contribution of human superior intra-parietal sulcus to visual short-term memory and perception. In P. Jolicoeur & J. Martinez-Trujillo (Eds.), Mechanisms of sensory working memory: Attention and performance XXV (1st ed., pp. 33–42). Academic.
- Xu, Y., & Vaziri-Pashkam, M. (2019). Task modulation of the 2-pathway characterization of occipitotemporal and posterior parietal visual object representations. Neuropsychologia, 132, 107140. https://doi.org/10.1016/j.neuropsychologia.2019.107140
- Yu, Q., & Shim, W. M. (2017). Occipital, parietal, and frontal cortices selectively maintain task-relevant features of multi-feature objects in visual working memory. NeuroImage, 157, 97–107. https://doi.org/10.1016/j.neuroimage.2017.05.055