Cited by 2,159Visual perception and processing mechanismsVisual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

The DOI matches its Crossref record; 182 of the 184 references it cites were found in a registry or an index.

Mechanisms of Visual Attention in the Human Cortex

Ungerleider, Sabine Kastner and Leslie G.·2000·Annual Review of Neuroscience

DOI 10.1146/annurev.neuro.23.1.315

Open this paper in CoChat — free account

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.

Integrity signals

Registry

Crossref · 10.1146/annurev.neuro.23.1.315

Cites

182 of 182 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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
Orienting of Attention
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
Perception and Communication
Lane, S. D. (2016) · Routledge eBooks · doi:10.4324/9781315506173-8 · Cited by 4,707
Two cortical visual systems
Ungerleider, L. G. (1982) · Medical Entomology and Zoology · Cited by 4,531

Show all 184 references

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

Sorted by citations

Items 601–700 of 1,006

Effect of Attention on Early Cortical Processes Associated with the Sound-induced Extra Flash Illusion
Mishra, J., Martı́nez, A., & Hillyard, S. A. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21295 · Cited by 67
Short-term plasticity as a neural mechanism supporting memory and attentional functions
Jääskeläinen, I. P., Ahveninen, J., Andermann, M. L., Belliveau, J. W., Raij, T., & Sams, M. E. (2011) · Brain Research · doi:10.1016/j.brainres.2011.09.031 · Cited by 70
Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information
Morioka, H., Kanemura, A., Morimoto, S., Yoshioka, T., Oba, S., Kawanabe, M., & Ishii, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.035 · Cited by 67
Independent Controls of Attentional Influences in Primary and Secondary Somatosensory Cortex
Chapman, C. E., & Meftah, E.-M. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00303.2005 · Cited by 68
Planning Ahead: Object-Directed Sequential Actions Decoded from Human Frontoparietal and Occipitotemporal Networks
Gallivan, J. P., Johnsrude, I. S., & Flanagan, J. R. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu302 · Cited by 69
Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013
Woolgar, A., Golland, P., & Bode, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.059 · Cited by 67
Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution
Huang, Y., Li, J., Gao, X., Hu, Y., & Lu, W. B. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3050856 · Cited by 66
Interactions Between Phasic Alerting and Spatial Orienting: Effects of Normal Aging and Alzheimer's Disease.
Festa, E. K., Ott, B. R., & Heindel, W. C. (2004) · Neuropsychology · doi:10.1037/0894-4105.18.2.258 · Cited by 67
Time Perception Distortion in Neuropsychiatric and Neurological Disorders
Teixeira, S. S., Machado, S. E. D. C., Paes, F., Velasques, B., Silva, J., Sanfim, A., Minc, D., Anghinah, R., Menegaldo, L. L., Salama, M., et al. (2013) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/18715273113129990080 · Cited by 72
Cortical Brain Activity Reflecting Attentional Biasing Toward Reward-Predicting Cues Covaries with Economic Decision-Making Performance
Martín, R. S., Appelbaum, L. G., Huettel, S. A., & Woldorff, M. G. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu160 · Cited by 68
Entrepreneurial ecosystem, entrepreneurial rate and innovation: the moderating role of internet attention
Yan, Y., & Guan, J. (2018) · International Entrepreneurship and Management Journal · doi:10.1007/s11365-018-0493-8 · Cited by 73
Evidence for capacity sharing when stopping
Verbruggen, F., & Logan, G. D. (2015) · Cognition · doi:10.1016/j.cognition.2015.05.014 · Cited by 71
The attentive cerebellum — myth or reality?
Haarmeier, T., & Thier, P. (2007) · The Cerebellum · doi:10.1080/14734220701286187 · Cited by 65
Competing Earnings Announcements: Which Announcement Do Investors Process First?
Frederickson, J. R., & Zolotoy, L. (2015) · The Accounting Review · doi:10.2308/accr-51190 · Cited by 66
Load Dependence of β and γ Oscillations Predicts Individual Capacity of Visual Attention
Rouhinen, S., Panula, J. M., Palva, J. M., & Palva, S. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1666-13.2013 · Cited by 71
Sex and spatial position effects on object location memory following intentional learning of object identities
Alexander, G. M., Packard, M. G., & Peterson, B. S. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(01)00215-9 · Cited by 66
Brain injury and the eye
Hoyt, C. S. (2007) · Eye · doi:10.1038/sj.eye.6702849 · Cited by 65
Effects of grouping and attention on the perception of causality
Choi, H. S., & Scholl, B. J. (2004) · Perception & Psychophysics · doi:10.3758/bf03194985 · Cited by 65
Anticipatory Suppression of Nonattended Locations in Visual Cortex Marks Target Location and Predicts Perception
Sylvester, C. M., Jack, A. I., Corbetta, M., & Shulman, G. L. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0275-08.2008 · Cited by 65
Readout From Iconic Memory and Selective Spatial Attention Involve Similar Neural Processes
Ruff, C. C., Kristjansson, A. K., & Driver, J. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01998.x · Cited by 65
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Baee, S., Pakdamanian, E., Kim, I., Feng, L., Ordóñez, V., & Barnes, L. E. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01293 · Cited by 72
Covert Shifts of Spatial Attention in the Macaque Monkey
Caspari, N., Janssens, T., Mantini, D., Vandenberghe, R. R., & Vanduffel, W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4383-14.2015 · Cited by 65
Differential Roles of Frequency-following and Frequency-doubling Visual Responses Revealed by Evoked Neural Harmonics
Kim, Y., Grabowecky, M., Paller, K. A., & Suzuki, S. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21536 · Cited by 64
When Emotion Blinds: A Spatiotemporal Competition Account of Emotion-Induced Blindness
Wang, L., Kennedy, B. L., & Most, S. B. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00438 · Cited by 70
Brain Dynamics Underlying Training-Induced Improvement in Suppressing Inappropriate Action
Manuel, A. L., Grivel, J., Bernasconi, F., Murray, M. M., & Spierer, L. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2064-10.2010 · Cited by 64
Attention-related changes in correlated neuronal activity arise from normalization mechanisms
Verhoef, B.-E., & Maunsell, J. H. R. (2017) · Nature Neuroscience · doi:10.1038/nn.4572 · Cited by 63
Searching from the Top Down: Ageing and Attentional Guidance during Singleton Detection
Whiting, W. L., Madden, D. J., Pierce, T. W., & Allen, P. A. (2004) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/02724980443000205 · Cited by 64
Dissociation between top‐down attentional control and the time course of visual attention as measured by attentional dwell time in patients with mild cognitive impairment
Perry, R. J., & Hodges, J. R. (2003) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2003.02754.x · Cited by 65
Paying attention to consciousness
Taylor, J. G. (2003) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2003.10.002 · Cited by 64
Human representation learning
Radulescu, A., Shin, Y. S., & Niv, Y. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-092920-120559 · Cited by 63
The Development of Selective Attention Orienting is an Agent of Change in Learning and Memory Efficacy
Markant, J. C., & Amso, D. (2015) · Infancy · doi:10.1111/infa.12100 · Cited by 63
Methylphenidate and atomoxetine normalise fronto-parietal underactivation during sustained attention in ADHD adolescents
Kowalczyk, O. S., Cubillo, A. I., Smith, A., Barrett, N., Giampietro, V., Brammer, M., Simmons, A., & Rubia, K. (2019) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2019.07.139 · Cited by 63
In-group modulation of perceptual matching
Moradi, Z., Sui, J., Hewstone, M., & Humphreys, G. W. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0798-8 · Cited by 63
Pervasive competition between threat and reward in the brain
Choi, J. M., Padmala, S., Spechler, P. A., & Pessoa, L. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst053 · Cited by 64
Parameter-based assessment of spatial and non-spatial attentional deficits in Huntington's disease
Finke, K., Bublak, P., Dose, M., Müller, H. J., & Schneider, W. X. (2006) · Brain · doi:10.1093/brain/awl040 · Cited by 64
Anticipating Conflict Facilitates Controlled Stimulus-response Selection
Correa, Á., Rao, A., & Nobre, A. C. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21136 · Cited by 65
Ensemble perception and focused attention: Two different modes of visual processing to cope with limited capacity
Baek, J., & Chong, S. C. (2020) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01718-7 · Cited by 63
Neural system for updating object working memory from different sources: Sensory stimuli or long-term memory
Roth, J. K., & Courtney, S. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.037 · Cited by 64
Neuronal representation of occluded objects in the human brain
Olson, I. R., Gatenby, J. C., Leung, H., Skudlarski, P., & Gore, J. C. (2003) · Neuropsychologia · doi:10.1016/s0028-3932(03)00151-9 · Cited by 64
Computational and neurobiological foundations of leadership decisions
Edelson, M. G., Polanía, R., Ruff, C. C., Fehr, E., & Hare, T. A. (2018) · Science · doi:10.1126/science.aat0036 · Cited by 65
Reprint of: Emotion and cognition and the amygdala: From “what is it?” to “what's to be done?”
Pessoa, L. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.02.030 · Cited by 65
Transient spatial attention and the perceived duration of brief visual events
Yeshurun, Y., & Marom, G. (2008) · Visual Cognition · doi:10.1080/13506280701588022 · Cited by 64
Saccadic latency in Parkinson's disease correlates with executive function and brain atrophy, but not motor severity
Perneczky, R., Ghosh, B. C. P., Hughes, L. E., Carpenter, R. H. S., Barker, R. A., & Rowe, J. B. (2011) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.01.032 · Cited by 63
Leveling the playing field: Attention mitigates the effects of intelligence on memory
Markant, J. C., & Amso, D. (2014) · Cognition · doi:10.1016/j.cognition.2014.01.006 · Cited by 64
Psychopathy: cognitive and neural dysfunction.
Blair, J. (2013) · PubMed Central · Cited by 61
Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene: fMRI analysis and asynchrony model
Hsieh, L., Young, R. A., Bowyer, S. M., Moran, J. E., Genik, R. J., Green, C. C., Chiang, Y.-R., Yu, Y.-J., Liao, C.-C., & Seaman, S. R. (2008) · Brain Research · doi:10.1016/j.brainres.2008.10.002 · Cited by 61
Selective Attention to Specific Features within Objects: Behavioral and Electrophysiological Evidence
Nobre, A. C., Rao, A., & Chelazzi, L. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.4.539 · Cited by 59
Functional brain organization for visual search in ASD
Keehn, B., Brenner, L. A., Palmer, E. D., Lincoln, A. J., & Müller, R. (2008) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617708081356 · Cited by 74
The effect of spatial attention on invisible stimuli
Shin, K., Stolte, M., & Chong, S. C. (2009) · Attention Perception & Psychophysics · doi:10.3758/app.71.7.1507 · Cited by 61
Source estimates for MEG/EEG visual evoked responses constrained by multiple, retinotopically‐mapped stimulus locations
Hagler, D. J., Halgren, E., Martı́nez, A., Huang, M., Hillyard, S. A., & Dale, A. M. (2008) · Human Brain Mapping · doi:10.1002/hbm.20597 · Cited by 65
Top-down modulation in human visual cortex predicts the stability of a perceptual illusion
Kloosterman, N. A., Meindertsma, T., Hillebrand, A., van Dijk, B. W., Lamme, V. A. F., & Donner, T. H. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00338.2014 · Cited by 61
Electrophysiological Evidence for Temporal Dissociation between Spatial Attention and Sensory Competition during Human Face Processing
Jacques, C., & Rossion, B. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl015 · Cited by 61
Learning to Predict Sequences of Human Visual Fixations
Jiang, M. X., Boix, X., Roig, G., Xu, J., Gool, L. V., & Zhao, Q. (2016) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2015.2496306 · Cited by 61
Role for the M1 Muscarinic Acetylcholine Receptor in Top-Down Cognitive Processing Using a Touchscreen Visual Discrimination Task in Mice
Gould, R. W., Dencker, D., Grannan, M. D., Bubser, M., Zhan, X., Wess, J., Xiang, Z., Locuson, C. W., Lindsley, C. W., Conn, P. J., et al. (2015) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5b00123 · Cited by 60
Attention enhances multi-voxel representation of novel objects in frontal, parietal and visual cortices
Woolgar, A., Williams, M., & Rich, A. N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.083 · Cited by 65
Hick–Hyman Law is Mediated by the Cognitive Control Network in the Brain
Wu, T., Dufford, A. J., Egan, L. J., Mackie, M., Chen, C., Yuan, C., Chen, C., Li, X., Liu, X., Hof, P. R., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx127 · Cited by 63
Visual explanations from spiking neural networks using inter-spike intervals
Kim, Y., & Panda, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-98448-0 · Cited by 62
Bottom-up inputs are required for establishment of top-down connectivity onto cortical layer 1 neurogliaform cells
Ibrahim, L. A., Huang, S., Fernández-Otero, M., Sherer, M., Qiu, Y., Vemuri, S., Xu, Q., Machold, R. P., Pouchelon, G., Rudy, B., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.004 · Cited by 61
fMRI reveals that involuntary visual deviance processing is resource limited
Yucel, G., McCarthy, G., & Belger, A. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.050 · Cited by 59
Stereotype-based modulation of person perception
Susanne Quadflieg, A., Flannigan, N., Waiter, G. D., Rossion, B., Wig, G. S., Turk, D. J., & Macrae, C. N. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.004 · Cited by 64
Decomposing interference during Stroop performance into different conflict factors: An event-related fMRI study
Melcher, T., & Gruber, O. (2009) · Cortex · doi:10.1016/j.cortex.2007.06.004 · Cited by 59
Quantitative Characterization of Functional Anatomical Contributions to Cognitive Control under Uncertainty
Fan, J., Dam, N. T. V., Gu, X., Liu, X., Wang, H., Tang, C. Y., & Hof, P. R. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00554 · Cited by 60
Quantifying the Internal Structure of Categories Using a Neural Typicality Measure
Davis, T. H., & Poldrack, R. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht014 · Cited by 59
Concurrent TMS-fMRI reveals interactions between dorsal and ventral attentional systems
Leitao, J., Thielscher, A., Tunnerhoff, J., & Noppeney, U. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0939-15.2015 · Cited by 58
Towards the quantitative evaluation of visual attention models
Bylinskii, Z., DeGennaro, E. M., Rajalingham, R., Ruda, H., Zhang, J., & Tsotsos, J. K. (2015) · Vision Research · doi:10.1016/j.visres.2015.04.007 · Cited by 58
The Where and When of Intention
Eagleman, D. M. (2004) · Science · doi:10.1126/science.1095331 · Cited by 57
The emotion–action link? Naturalistic emotional stimuli preferentially activate the human dorsal visual stream
Goldberg, H., Preminger, S., & Malach, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.032 · Cited by 58
Strategies of intention formation are reflected in continuous MEG activity
Achtziger, A., Fehr, T., Oettingen, G., Gollwitzer, P. M., & Rockstroh, B. S. (2008) · Social Neuroscience · doi:10.1080/17470910801925350 · Cited by 58
Task-invariant Brain Responses to the Social Value of Faces
Todorov, A. T., Said, C. P., Oosterhof, N. N., & Engell, A. D. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2011.21616 · Cited by 64
Oscillatory synchrony as a mechanism of attentional processing
Gregoriou, G. G., Paneri, S., & Sapountzis, P. (2015) · Brain Research · doi:10.1016/j.brainres.2015.02.004 · Cited by 62
Psychophysics of emotion: The QUEST for Emotional Attention
Roesch, E. B. (2010) · Journal of Vision · doi:10.1167/10.3.4 · Cited by 57
The affective consequences of cognitive inhibition: Devaluation or neutralization?
Frischen, A., Ferrey, A. E., Burt, D. H. R., Pistchik, M., & Fenske, M. J. (2011) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0025981 · Cited by 58
Prefrontal Cortex Organization: Dissociating Effects of Temporal Abstraction, Relational Abstraction, and Integration with fMRI
Nee, D. E., Jahn, A., & Brown, J. W. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht091 · Cited by 59
Functional coupling between frontoparietal and occipitotemporal pathways during action and perception
Hutchison, R. M., & Gallivan, J. P. (2016) · Cortex · doi:10.1016/j.cortex.2016.10.020 · Cited by 63
Continuity fields enhance visual perception through positive serial dependence
Manassi, M., & Whitney, D. C. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00297-x · Cited by 69
Electrical Neuroimaging of Voluntary Audiospatial Attention: Evidence for a Supramodal Attention Control Network
Green, J. J., Doesburg, S. M., Ward, L. M., & McDonald, J. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5758-10.2011 · Cited by 58
Functional Fractionation of the Stimulus-Driven Attention Network
Han, S. W., & Marois, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4975-13.2014 · Cited by 59
Effective Connectivity During Feature-Based Attentional Capture: Evidence Against the Attentional Reorienting Hypothesis of TPJ
DiQuattro, N. E., Sawaki, R., & Geng, J. J. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht172 · Cited by 57
Frontal cortical control of posterior sensory and association cortices through the claustrum
White, M. G., & Mathur, B. N. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1661-x · Cited by 57
Neural correlates of dual task interference in rapid visual streams: An fMRI study
Marcantoni, W. S., Lepage, M., Beaudoin, G., Bourgouin, P. M., & Richer, F. (2003) · Brain and Cognition · doi:10.1016/s0278-2626(03)00134-9 · Cited by 57
The Differential Effects of Reward on Space- and Object-Based Attentional Allocation
Lee, J., & Shomstein, S. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5575-12.2013 · Cited by 56
Multiscale Temporal Self-Attention and Dynamical Graph Convolution Hybrid Network for EEG-Based Stereogram Recognition
Shen, L., Sun, M., Li, Q., Li, B., Pan, Z., & Lei, J. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3173724 · Cited by 56
Practice-Related Improvement in Working Memory is Modulated by Changes in Processing External Interference
Berry, A. S., Zanto, T. P., Rutman, A. M., Clapp, W. C., & Gazzaley, A. H. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00179.2009 · Cited by 60
Orienting auditory spatial attention engages frontal eye fields and medial occipital cortex in congenitally blind humans
Garg, A., Schwartz, D., & Stevens, A. A. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2007.02.015 · Cited by 58
Differentiating emotional processing and attention in psychopathy with functional neuroimaging
Anderson, N. E., Steele, V. R., Maurer, J. M., Rao, V., Koenigs, M. R., Decety, J., Kosson, D. S., Calhoun, V. D., & Kiehl, K. A. (2017) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0493-5 · Cited by 60
Resting state functional connectivity predictors of treatment response to electroconvulsive therapy in depression
Moreno-Ortega, M., Prudic, J., Rowny, S. B., Patel, G. H., Kangarlu, A., Lee, S., Grinband, J., Palomo, T., Perera, T. D., Glasser, M. F., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-41175-4 · Cited by 62
Binocular rivalry and perceptual ambiguity
Alais, D., & Blake, R. (2015) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199686858.013.034 · Cited by 33
Pulvino-cortical interaction: An integrative role in the control of attention
Bourgeois, A., Guedj, C., Carrera, E., & Vuilleumier, P. O. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.005 · Cited by 55
Priority coding in the visual system
Rust, N. C., & Cohen, M. R. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00582-9 · Cited by 59
Object‐based attention: strategy versus automaticity
Shomstein, S. (2012) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1162 · Cited by 55
Psychopathy-related differences in selective attention are captured by an early event-related potential.
Baskin-sommers, A. R., Curtin, J. J., Li, W., & Newman, J. P. (2011) · Personality Disorders Theory Research and Treatment · doi:10.1037/a0025593 · Cited by 55
Eye Movement Training and Suggested Gaze Strategies in Tunnel Vision - A Randomized and Controlled Pilot Study
Ivanov, I. V., MacKeben, M., Vollmer, A., Martus, P., Nguyen, N. X., & Trauzettel‐Klosinski, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157825 · Cited by 55
Temporal Anticipation Based on Memory
Cravo, A. M., Rohenkohl, G., Santos, K. M., & Nobre, A. C. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01172 · Cited by 55
Human V4 Activity Patterns Predict Behavioral Performance in Imagery of Object Color
Bannert, M. M., & Bartels, A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2307-17.2018 · Cited by 55
Alpha and alpha-beta phase synchronization mediate the recruitment of the visuospatial attention network through the Superior Longitudinal Fasciculus
D’Andrea, A., Chella, F., Marshall, T. R., Pizzella, V., Romani, G. L., Jensen, O. B., & Marzetti, L. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.056 · Cited by 55
Automaticity and Control: How Do Executive Functions and Reading Fluency Interact in Predicting Reading Comprehension?
Kieffer, M. J., & Christodoulou, J. A. (2019) · Reading Research Quarterly · doi:10.1002/rrq.289 · Cited by 72
Auditory Processing in the Posterior Parietal Cortex
Cohen, Y. E., Russ, B. E., & Gifford, G. W. (2005) · Behavioral and Cognitive Neuroscience Reviews · doi:10.1177/1534582305285861 · Cited by 51
Attention control in the primate brain
Boshra, R., & Kästner, S. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102605 · Cited by 54
Task and Regions Specific Top-Down Modulation of Alpha Rhythms in Parietal Cortex
Capotosto, P., Baldassarre, A., Sestieri, C., Spadone, S., Romani, G. L., & Corbetta, M. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw278 · Cited by 55
Cortical networks involved in visual awareness independent of visual attention
Webb, T. W., Igelström, K. M., Schurger, A., & Graziano, M. S. A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611505113 · Cited by 54

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
DOI: 10.1146/annurev.neuro.23.1.315
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Mechanisms of Visual Attention in the Human Cortex

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks