Neural mechanisms of selective visual attention.
Abstract
Selective visual attention describes the tendency of visual processing to be confined largely to stimuli that are relevant to behavior. It is among the most fundamental of cognitive functions, particularly in humans and other primates for whom vision is the dominant sense. We review recent progress in identifying the neural mechanisms of selective visual attention. We discuss evidence from studies of different varieties of selective attention and examine how these varieties alter the processing of stimuli by neurons within the visual system, current knowledge of their causal basis, and methods for assessing attentional dysfunctions. In addition, we identify some key questions that remain in identifying the neural mechanisms that give rise to the selective processing of visual information.
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Gaze control and selective attention are core functions of conscious vision.
“The idea that gaze control and selective attention are core functions of conscious vision accords with the widespread recognition of the adaptive benefit of controlling attention, both in general terms and for vision (Thompson and Parasuraman, 2012; Moore and Zirnsak, 2017; Pitts et al., 2018)”
From The function(s) of consciousness revisited: insights from a modular/constitutive model using vision as a test case (2026) · cites this paper as Moore and Zirnsak, 2017
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Visual space is compressed in prefrontal cortex before eye movements
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Self-citationAttentional capture by salient color singleton distractors is modulated by top-down dimensional set.
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Attention can either increase or decrease spike count correlations in visual cortex
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Self-citationLoss of attentional stimulus selection after extrastriate cortical lesions in macaques
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Selective attention from voluntary control of neurons in prefrontal cortex
Schafer, R. J., & Moore, T. (2011) · Science · doi:10.1126/science.1199892 · Cited by 174 · see citing works
Self-citationRolfs, M., & Carrasco, M. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2676-12.2012 · Cited by 173 · see citing works
A new perceptual illusion reveals mechanisms of sensory decoding
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A Neuronal Population Measure of Attention Predicts Behavioral Performance on Individual Trials
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The role of neuromodulators in selective attention
Noudoost, B., & Moore, T. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.10.006 · Cited by 161 · see citing works
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Selection and Maintenance of Spatial Information by Frontal Eye Field Neurons
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Self-citationGamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli
Siegle, J. H., Pritchett, D. L., & Moore, C. I. (2014) · Nature Neuroscience · doi:10.1038/nn.3797 · Cited by 139 · see citing works
Posterior Parietal Cortex Automatically Encodes the Location of Salient Stimuli
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Luminance-increment detection: Capacity-limited or not?
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Visual representations during saccadic eye movements
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Self-citationLocus Ceruleus Regulates Sensory Encoding by Neurons and Networks in Waking Animals
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Perisaccadic Mislocalization Orthogonal to Saccade Direction
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The Peri-Saccadic Perception of Objects and Space
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Selective Effects of Cholinergic Modulation on Task Performance during Selective Attention
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Adaptive Allocation of Attentional Gain
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Self-citationSpatial distribution of visual attention: Perceptual sensitivity and response latency
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Locomotor hyperactivity induced by blockade of prefrontal cortical α2-adrenoceptors in monkeys
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Integration of Exogenous Input into a Dynamic Salience Map Revealed by Perturbing Attention
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Near-optimal integration of orientation information across saccades
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Exploring selective attention in ADHD: visual search through space and time
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Attention Governs Action in the Primate Frontal Eye Field
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Self-citationCholinergic Control of Cognitive Resources
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Saccades and shifting receptive fields: anticipating consequences or selecting targets?
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Self-citationShape Representations and Visual Guidance of Saccadic Eye Movements
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Self-citationInfluence and limitations of popout in the selection of salient visual stimuli by area V4 neurons
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Self-citationTendencies to eye movement and perceptual accuracy.
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Electrical and magnetic brain recordings: contributions to cognitive neuroscience
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Reward expectation differentially modulates attentional behavior and activity in visual area V4
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Role of spatial location in integration of pictorial information across saccades.
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Adaptive deployment of spatial and feature-based attention before saccades
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The Amygdala and Basal Forebrain as a Pathway for Motivationally Guided Attention
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Self-citationHow Selective Are V1 Cells for Pop-Out Stimuli?
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Visual Saliency Computations: Mechanisms, Constraints, and the Effect of Feedback
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Distinguishing bias from sensitivity effects in multialternative detection tasks
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Self-citationLateral information transfer across saccadic eye movements
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Self-citationWhen circles become triangular: how transsaccadic predictions shape the perception of shape
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Modulation of neuronal responses by exogenous attention in macaque primary visual cortex
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Presaccadic discrimination of receptive field stimuli by area V4 neurons
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Self-citationKim, J., Wasserman, E. A., Castro, L., & Freeman, J. H. (2015) · Behavioral Neuroscience · doi:10.1037/bne0000117 · Cited by 37 · see citing works
Dissociating oculomotor contributions to spatial and feature-based selection
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Perisaccadic Remapping and Rescaling of Visual Responses in Macaque Superior Colliculus
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Self-citationGlobal Selection of Saccadic Target Features by Neurons in Area V4
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Self-citationColor singleton pop-out does not always poop out: An alternative to visual search
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Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.011 · Cited by 1,557 · see citing works
Spatial attention alters visual appearance
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Post-error recruitment of frontal sensory cortical projections promotes attention in mice
Norman, K. J., Riceberg, J. S., Koike, H., Bateh, J., McCraney, S. E., Caro, K., Kato, D., Liang, A., Yamamuro, K., Flanigan, M. E., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.02.001 · Cited by 66 · see citing works
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Deng, Q., Wu, C., & Yang, L. (2026) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-026-01936-7
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- Authors
- Moore, T., & Zirnsak, M.
- Affiliations
- Howard Hughes Medical Institute (US)
- ORCID
- Moore, Tirin
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2017-01-03
- Volume
- 68
- Issue
- 1
- Pages
- 47-72
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2295763703
- Cited by
- 471
- References
- 192
- Citations by year
- 2026: 43 · 2025: 68 · 2024: 67 · 2023: 42 · 2022: 62 · 2021: 58 · 2020: 58 · 2019: 26 · 2018: 32 · 2017: 15
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Psychology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Eye Institute (R01EY014924)
- 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 selective attention, neural mechanisms of attention, attentional dysfunction, attentional control
- MeSH terms
- Animals, Haplorhini, Attention, Brain, Humans, Magnetic Resonance Imaging, Nerve Net, Visual Perception, Rats
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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.
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