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Mechanisms of Visual Attention in the Human Cortex
Abstract
A typical scene contains many different objects that, because of the limited processing capacity of the visual system, compete for neural representation. The competition among multiple objects in visual cortex can be biased by both bottom-up sensory-driven mechanisms and top-down influences, such as selective attention. Functional brain imaging studies reveal that, both in the absence and in the presence of visual stimulation, biasing signals due to selective attention can modulate neural activity in visual cortex in several ways. Although the competition among stimuli for representation is ultimately resolved within visual cortex, the source of top-down biasing signals derives from a network of areas in frontal and parietal cortex.
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“Sensory processing may be associated with executive function because sensory processing has been shown to be influenced by higher order cognitive control [21, 22].”
From Sensory processing in preterm preschoolers and its association with executive function (2015) · cites this paper as [22]
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“The Gift Wrap task measures the executive function domain of inhibition, which has been theorized to be an important component in sensory processing [22].”
From Sensory processing in preterm preschoolers and its association with executive function (2015) · cites this paper as [22]
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“For example, working memory has been demonstrated to influence visual selective attention [32] and to exert top-down control on neural activity in the visual cortex [22].”
From Sensory processing in preterm preschoolers and its association with executive function (2015) · cites this paper as [22]
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“It is likely that executive function can also exert top-down control over sensory processing and influence which sensory stimuli gain conscious awareness [21, 22].”
From Sensory processing in preterm preschoolers and its association with executive function (2015) · cites this paper as [22]
Citations
Cites
A feature-integration theory of attention.
Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Separate visual pathways for perception and action
Goodale, M. A., & Milner, A. D. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90344-8 · Cited by 6,519
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Lane, S. D. (2016) · Routledge eBooks · doi:10.4324/9781315506173-8 · Cited by 4,707
Ungerleider, L. G. (1982) · Medical Entomology and Zoology · Cited by 4,531
Research works printed but not linked: 14
- Bisiach E, Vallar G. 1988. Hemineglect in humans. In Handbook of Neuropsychology, ed. F Boller, J Grafman, pp. 1:195–222. Amsterdam: Elsevier
- Boller F, Grafman J, eds. 1989. Handbook of Neuropsychology, Vol. 2. Amsterdam: Elsevier
- 10.1037//0033-295X.97.4.523 · DOI
- Desimone R, Ungerleider LG. 1989. Neural mechanisms of visual processing in monkeys. See Boller & Grafman 1989, pp. 267– 99
- 10.1037//0033-295X.87.3.272 · DOI
- 10.1037/0096-3445.113.4.501 · DOI
- Goldberg ME, Colby CL. 1989. The neurophysiology of spatial vision. See Boller & Grafman, pp. 301–15
- Harter MR, Aine CJ. 1984. Brain mechanisms of visual selective attention. In Varieties of Attention, ed. R Parasuraman, DR Davies, pp. 293–321. Orlando, FL: Academic
- 1999, NeuroImage, 9, 5885
- 1997, Soc. Neurosci. Abstr., 23, 302
- 1998, Soc. Neurosci. Abstr., 24, 1249
- Vallar G. 1993. The anatomical basis of spatial neglect in humans. See Robertson & Marshall 1993, pp. 27–62
- Vento LA, Luck SJ, Hillyard SA. 1998. Spatiotemporal dynamics of attention to color: evidence from human electrophysiology. Hum. Brain Map. 6:216–38 · DOI
- Woldorff MG, Fox PT, Matzke M, Lancaster JL, Veeraswamy S, et al. 1997. Retinotopic organization of early visual spatial attention effects as revealed by PET and ERPs . Hum. Brain Map. 5:280–86 · DOI
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Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Visual attention: The past 25 years
Carrasco, M. (2011) · Vision Research · doi:10.1016/j.visres.2011.04.012 · Cited by 2,660
Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
Buschman, T. J., & Miller, E. K. (2007) · Science · doi:10.1126/science.1138071 · Cited by 2,380
On the relationship between emotion and cognition
Pessoa, L. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2317 · Cited by 2,350
How brains beware: neural mechanisms of emotional attention
Vuilleumier, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.10.011 · Cited by 2,162
Neurocognitive consequences of sleep deprivation
Goel, N., Rao, H., Durmer, J., & Dinges, D. (2009) · Seminars in Neurology · doi:10.1055/s-0029-1237117 · Cited by 2,154
State-of-the-Art in Visual Attention Modeling
Borji, A., & Itti, L. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.89 · Cited by 1,845
The activation of attentional networks
FAN, J., MCCANDLISS, B., FOSSELLA, J., FLOMBAUM, J., & POSNER, M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.004 · Cited by 1,737
Logothetis, N. K., & Wandell, B. A. (2004) · Annual Review of Physiology · doi:10.1146/annurev.physiol.66.082602.092845 · Cited by 1,568
Top-down versus bottom-up attentional control: a failed theoretical dichotomy
Awh, E., Belopolsky, A. V., & Theeuwes, J. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.06.010 · Cited by 1,557
The Normalization Model of Attention
Reynolds, J. H., & Heeger, D. J. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.002 · Cited by 1,457
Decoding reveals the contents of visual working memory in early visual areas
Harrison, S. A., & Tong, F. (2009) · Nature · doi:10.1038/nature07832 · Cited by 1,347
New vistas for α-frequency band oscillations
Palva, S., & Palva, J. M. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.02.001 · Cited by 1,418
Correlated neuronal activity and the flow of neural information
Salinas, E., & Sejnowski, T. J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35086012 · Cited by 1,333
How do emotion and motivation direct executive control?
Pessoa, L. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.01.006 · Cited by 1,286
Spectral fingerprints of large-scale neuronal interactions
Siegel, M., Donner, T. H., & Engel, A. K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3137 · Cited by 1,295
Intentional Maps in Posterior Parietal Cortex
Andersen, R. A., & Buneo, C. A. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142922 · Cited by 1,294
The cognitive neuroscience of sustained attention: where top-down meets bottom-up.
Sarter, M., Givens, B., & Bruno, J. P. (2001) · Brain Research Reviews · doi:10.1016/s0165-0173(01)00044-3 · Cited by 1,194
Vuilleumier, P., & Pourtois, G. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.06.003 · Cited by 1,115
Egner, T., & Hirsch, J. (2005) · Nature Neuroscience · doi:10.1038/nn1594 · Cited by 1,144
Neural Systems Underlying the Suppression of Unwanted Memories
Anderson, M. C., Ochsner, K. N., Kuhl, B. A., Cooper, J. C., Robertson, E. R., Whitfield‐Gabrieli, S., Glover, G. H., & Gabrieli, J. D. E. (2004) · Science · doi:10.1126/science.1089504 · Cited by 1,121
The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal
Logothetis, N. K. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-10-03963.2003 · Cited by 1,024
Emotion and attention: event-related brain potential studies
Schupp, H. T., Flaisch, T., Stockburger, J., & Junghöfer, M. (2006) · Progress in brain research · doi:10.1016/s0079-6123(06)56002-9 · Cited by 1,076
Attentional modulation of visual processing
Reynolds, J. H., & Chelazzi, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.26.041002.131039 · Cited by 1,158
The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal.
Logothetis, N. (2002) · Philosophical transactions of the Royal Society of London. Series B, Biological sciences · doi:10.1098/rstb.2002.1114 · Cited by 1,031
He, B. J., Snyder, A. Z., Vincent, J. L., Epstein, A. A., Shulman, G. L., & Corbetta, M. (2007) · Neuron · doi:10.1016/j.neuron.2007.02.013 · Cited by 945
Neural basis and recovery of spatial attention deficits in spatial neglect
Corbetta, M., Kincade, M. J., Lewis, C., Snyder, A. Z., & Sapir, A. (2005) · Nature Neuroscience · doi:10.1038/nn1574 · Cited by 892
Individual Differences in Working Memory Capacity and Dual-Process Theories of the Mind.
Barrett, L. F., Tugade, M. M., & Engle, R. W. (2004) · Psychological Bulletin · doi:10.1037/0033-2909.130.4.553 · Cited by 913
The effects of emotion on attention: A review of attentional processing of emotional information
Yiend, J. (2010) · Cognition and Emotion · doi:10.1080/02699930903205698 · Cited by 891
Binding in short-term visual memory.
Wheeler, M. E., & Treisman, A. (2002) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.131.1.48 · Cited by 824
Long-range and local circuits for top-down modulation of visual cortex processing
Zhang, S., Xu, M., Kamigaki, T., Hoang Do, J. P., Chang, W.-C., Jenvay, S., Miyamichi, K., Luo, L., & Dan, Y. (2014) · Science · doi:10.1126/science.1254126 · Cited by 804
Attention modulates responses in the human lateral geniculate nucleus
O’Connor, D. H., Fukui, M. M., Pinsk, M. A., & Kästner, S. (2002) · Nature Neuroscience · doi:10.1038/nn957 · Cited by 760
Transient neural activity in human parietal cortex during spatial attention shifts
Yantis, S., Schwarzbach, J. V., Serences, J. T., Carlson, R. L., Steinmetz, M. A., Pekar, J. J., & Courtney, S. M. (2002) · Nature Neuroscience · doi:10.1038/nn921 · Cited by 733
Typologies of attentional networks
Raz, A., & Buhle, J. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1903 · Cited by 706
A unified framework for inhibitory control
Munakata, Y., Herd, S. A., Chatham, C. H., Depue, B. E., Banich, M. T., & O’Reilly, R. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.07.011 · Cited by 699
Neural Systems for Visual Orienting and Their Relationships to Spatial Working Memory
Corbetta, M., Kincade, J. M., & Shulman, G. L. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317362029 · Cited by 698
Klingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317205276 · Cited by 695
Brain mechanisms for emotional influences on perception and attention: What is magic and what is not
Pourtois, G., Schettino, A., & Vuilleumier, P. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2012.02.007 · Cited by 687
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Zanto, T. P., Rubens, M. T., Thangavel, A., & Gazzaley, A. H. (2011) · Nature Neuroscience · doi:10.1038/nn.2773 · Cited by 695
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Palva, J. M., Palva, S., & Kaila, K. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4250-04.2005 · Cited by 663
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Memory retrieval and the parietal cortex: A review of evidence from a dual-process perspective
Vilberg, K. L., & Rugg, M. D. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.01.004 · Cited by 644
Oscillatory synchronization in large-scale cortical networks predicts perception
Hipp, J. F., Engel, A. K., & Siegel, M. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.027 · Cited by 599
A Neural Theory of Visual Attention: Bridging Cognition and Neurophysiology.
Bundesen, C., Habekost, T., & Kyllingsbæk, S. (2005) · Psychological Review · doi:10.1037/0033-295x.112.2.291 · Cited by 614
Selective Visual Attention to Emotion
Schupp, H. T., Stockburger, J., Codispoti, M., Junghöfer, M., Weike, A. I., & Hamm, A. O. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3223-06.2007 · Cited by 606
A Meta-analysis of Executive Components of Working Memory
Nee, D. E., Brown, J. W., Askren, M. K., Berman, M. G., Demiralp, E., Krawitz, A., & Jonides, J. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs007 · Cited by 544
Bressler, S. L., Tang, W., Sylvester, C. M., Shulman, G. L., & Corbetta, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1776-08.2008 · Cited by 585
Kincade, J. M., Abrams, R. A., Astafiev, S. V., Shulman, G. L., & Corbetta, M. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.0236-05.2005 · Cited by 561
Shulman, G. L., Pope, D. L. W., Astafiev, S. V., McAvoy, M. P., Snyder, A. Z., & Corbetta, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4085-09.2010 · Cited by 558
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Concurrent TMS-fMRI and Psychophysics Reveal Frontal Influences on Human Retinotopic Visual Cortex
Ruff, C. C., Blankenburg, F., Bjoertomt, O., Bestmann, S., Freeman, E., Haynes, J.-D., Rees, G., Josephs, O., Deichmann, R., & Driver, J. (2006) · Current Biology · doi:10.1016/j.cub.2006.06.057 · Cited by 514
Functional neuroanatomy of biological motion perception in humans
Vaina, L. M., Solomon, J. M., Chowdhury, S., Sinha, P., & Belliveau, J. W. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191374198 · Cited by 509
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Spence, I., & Feng, J. (2010) · Review of General Psychology · doi:10.1037/a0019491 · Cited by 512
Lutz, A., Lachaux, J.-P., Martinerie, J., & Varela, F. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.032658199 · Cited by 503
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Capotosto, P., Babiloni, C., Romani, G., & Corbetta, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0539-09.2009 · Cited by 530
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Li, W., Piëch, V., & Gilbert, C. D. (2004) · Nature Neuroscience · doi:10.1038/nn1255 · Cited by 486
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Swisher, J. D., Halko, M. A., Merabet, L. B., McMains, S. A., & Somers, D. C. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0991-07.2007 · Cited by 456
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Kästner, S., & Ungerleider, L. G. (2001) · Neuropsychologia · doi:10.1016/s0028-3932(01)00116-6 · Cited by 470
Anatomical insights into the interaction of emotion and cognition in the prefrontal cortex
Ray, R. D., & Zald, D. H. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.08.005 · Cited by 446
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Sadaghiani, S., & Kleinschmidt, A. K. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.004 · Cited by 447
Cortical information flow during flexible sensorimotor decisions
Siegel, M., Buschman, T. J., & Miller, E. K. (2015) · Science · doi:10.1126/science.aab0551 · Cited by 448
Neural Correlates of Visual Working Memory
Pessoa, L., Gutiérrez, E., Bandettini, P. A., & Ungerleider, L. G. (2002) · Neuron · doi:10.1016/s0896-6273(02)00817-6 · Cited by 467
Top-down and bottom-up mechanisms in biasing competition in the human brain
Beck, D. M., & Kastner, S. (2009) · Vision Research · doi:10.1016/j.visres.2008.07.012 · Cited by 444
Sui, J., He, X., & Humphreys, G. W. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0029792 · Cited by 467
Where's the action? The pragmatic turn in cognitive science
Engel, A. K., Maÿe, A., Kurthen, M., & Peter König, B. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.03.006 · Cited by 466
Rubia, K. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.023 · Cited by 440
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Silvanto, J., & Pascual-Leone, Á. (2008) · Brain Topography · doi:10.1007/s10548-008-0067-0 · Cited by 439
Working memory retention systems: A state of activated long-term memory
Ruchkin, D. S., Grafman, J. H., Cameron, K. A., & Berndt, R. S. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03000165 · Cited by 426
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Braddick, O., & Atkinson, J. (2011) · Vision Research · doi:10.1016/j.visres.2011.02.018 · Cited by 432
Emotion and cognition and the amygdala: From “what is it?” to “what's to be done?”
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Vuilleumier, P., & Driver, J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2092 · Cited by 397
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Olesen, P. J., Nagy, Z., Westerberg, H., & Klingberg, T. (2003) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2003.09.003 · Cited by 397
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Tallon‐Baudry, C., Bertrand, O., & Fischer, C. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-20-j0008.2001 · Cited by 392
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Crottaz‐Herbette, S., & Menon, V. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.5.766 · Cited by 403
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Toward a Unified Theory of Visual Area V4
Roe, A. W., Chelazzi, L., Connor, C. E., Conway, B. R., Fujita, I., Gallant, J. L., Lu, H. D., & Vanduffel, W. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.011 · Cited by 399
Functional Characterization of the Cingulo-Opercular Network in the Maintenance of Tonic Alertness
Sadaghiani, S., & D’Esposito, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu072 · Cited by 398
Pelphrey, K. A., Morris, J. P., Michelich, C. R., Allison, T., & McCarthy, G. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi064 · Cited by 369
Madden, D. J., Whiting, W. L., Huettel, S. A., White, L. E., MacFall, J. R., & Provenzale, J. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.004 · Cited by 369
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Pessoa, L., Padmala, S., & Morland, T. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.048 · Cited by 363
Metadata
- Authors
- Ungerleider, S. K. A. L. G.
- Affiliations
- Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, 20892;,
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2000-03
- Volume
- 23
- Issue
- 1
- Pages
- 315-341
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2164364459
- Cited by
- 2,159
- References
- 184
- Citations by year
- 2026: 46 · 2025: 74 · 2024: 58 · 2023: 42 · 2022: 72 · 2021: 81 · 2020: 72 · 2019: 80 · 2018: 89 · 2017: 93 · 2016: 97 · 2015: 110 · 2014: 109 · 2013: 113 · 2012: 120
- FWCI
- 3.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- visual attention, selective attention, top-down modulation, bottom-up processing, visual cortex, neural competition, frontal cortex, parietal cortex, object representation
- MeSH terms
- Animals, Attention, Humans, Memory, Visual Cortex, Visual Pathways, Visual Perception
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