The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A Multi-level Account of Selective Attention
Abstract
To achieve behavioural goals, relevant sensory stimuli must be processed more quickly and reliably than irrelevant distracters. The ability to prioritize relevant over irrelevant stimuli is usually referred to as selective information processing, or selective attention. Over the last 50–60 years, there has been an ongoing debate about the point along the sensory–response processing stream at which selective attention operates: are relevant and irrelevant inputs segregated early in processing based on low-level featural differences, or does this segregation occur late in processing after the meaning of each stimulus has been computed? As with nearly all dichotomies in psychology, the emerging consensus is that neither extreme is correct. Instead, depending on task demands, the mechanisms of selective attention can flexibly operate on the quality of low-level sensory representations as well as on later stages of semantic analysis and decision-making.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Selective attention task (SAtt). This is designed to evaluate selective spatial attention (Serences & Kastner, 2014; Pahor et al., 2022).”
From Does Spatial Cognition Emerge in Frontier Models? (2024) · cites this paper as Serences & Kastner, 2014
In the citing paper
“This is a test of selective spatial attention, i.e., the ability to selectively attend to a particular region of space while ignoring others (Serences & Kastner, 2014; Pahor et al., 2022).”
From Does Spatial Cognition Emerge in Frontier Models? (2024) · cites this paper as Serences & Kastner, 2014
Citations
Cites
Kutas, M., & Federmeier, K. D. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.131123 · Cited by 4,377
The Neural Basis of Decision Making
Gold, J. I., & Shadlen, M. N. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.113038 · Cited by 3,764
Attentional modulation of visual motion processing in cortical areas MT and MST
Treue, S., & Maunsell, J. H. R. (1996) · Nature · doi:10.1038/382539a0 · Cited by 1,025
Perceptual load as a major determinant of the locus of selection in visual attention
Lavie, N., & Tsal, Y. (1994) · Perception & Psychophysics · doi:10.3758/bf03213897 · Cited by 870 · cited 1×
“Th us, the emerging consensus from the cognitive neuroscience literature clarifi es and solidifi es earlier notions that both early and late selection can occur depending on task demands and are not mutually exclusive (Lavie and Tsal 1994; Vogel, Woodman, and Luck 2005; Yantis and Johnston 1990).”
BackgroundDifferential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665
Cited by
Sorted by citations
Deep phenotyping of attention impairments and the ‘Inattention Biotype’ in Major Depressive Disorder
Keller, A. S., Ball, T. M., & Williams, L. M. (2020) · Psychological Medicine · doi:10.1017/s0033291719002290 · Cited by 52
Does Spatial Cognition Emerge in Frontier Models?
Ramakrishnan, S. K., Wijmans, E., Kraehenbuehl, P., & Koltun, V. (2024) · arXiv · doi:10.48550/arxiv.2410.06468 · Cited by 49
Metadata
- Authors
- Serences, J. T., & Kastner, S.
- Affiliations
- University of California San Diego (US)
- ORCID
- Serences, John T.
- Venue
- Oxford Handbooks Online
- Publisher
- Oxford University Press
- Published
- 2014-04-01
- OpenAlex
- W181843969
- Cited by
- 45
- References
- 5
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 6 · 2019: 5 · 2018: 5 · 2017: 1 · 2016: 5 · 2015: 3
- FWCI
- 1.07
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Oxford University Press eBooks (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- selective attention, semantic analysis, decision-making, distractors, task demands
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Multi-level Account of Selective Attention. https://app.cochat.ai/papers/10.1093/oxfordhb/9780199675111.013.022
- The paper
- Serences, J. T., & Kastner, S. (2014). A Multi-level Account of Selective Attention. Oxford Handbooks Online. https://doi.org/10.1093/oxfordhb/9780199675111.013.022