The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.
Spatial attention alters visual appearance
Open accessAbstract
It is well established that attention improves performance on many visual tasks. However, for more than 100 years, psychologists, philosophers, and neurophysiologists have debated its phenomenology-whether attention actually changes one's subjective experience. Here, we show that it is possible to objectively and quantitatively investigate the effects of attention on subjective experience. First, we review evidence showing that attention alters the appearance of many static and dynamic basic visual dimensions, which mediate changes in appearance of higher-level perceptual aspects. Then, we summarize current views on how attention alters appearance. These findings have implications for our understanding of perception and attention, illustrating that attention affects not only how we perform in visual tasks, but actually alters our experience of the visual world.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“More recently, cognitive psychological studies have characterized the particular ways, in which attention can influence perception, from low-level visual features to high-level perceptual judgments (for review see ref. 43).”
From Paying attention to attention in depression (2019) · cites this paper as [43]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
James, W. (1891) · Personality Culture Society · doi:10.1037/11059-000 · Cited by 25,876
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Visual attention: The past 25 years
Carrasco, M. (2011) · Vision Research · doi:10.1016/j.visres.2011.04.012 · Cited by 2,660
Self-citationHandbuch der physiologischen Optik
Cz., P. (1896) · Monatshefte für Mathematik · doi:10.1007/bf01708548 · Cited by 2,071
Handbuch der physiologischen Optik
Helmholtz, H. L. F. (2011) · DFG Viewer (DFG Viewer) · Cited by 1,947
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
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 cost of cortical computation.
Lennie, P. (2003) · Current Biology · doi:10.1016/s0960-9822(03)00135-0 · Cited by 1,134
Carrasco, M., Ling, S., & Read, S. (2004) · Nature Neuroscience · doi:10.1038/nn1194 · Cited by 1,126
Self-citationRatio scales and category scales for a dozen perceptual continua.
Stevens, S. S., & Galanter, E. (1957) · Journal of Experimental Psychology · doi:10.1037/h0043680 · Cited by 1,059
Cited by
Sorted by citations
Paying attention to attention in depression
Keller, A. S., Leikauf, J. E., Holt-Gosselin, B., Staveland, B. R., & Williams, L. M. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0616-1 · Cited by 329
Peripheral vision in real-world tasks: A systematic review
Vater, C., Wolfe, B. A., & Rosenholtz, R. E. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-022-02117-w · Cited by 145
Polar angle asymmetries in visual perception and neural architecture
Himmelberg, M. M., Winawer, J. A., & Carrasco, M. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.03.006 · Cited by 95
Self-citationTo look or not to look: dissociating presaccadic and covert spatial attention
Li, H.-H., Hanning, N. M., & Carrasco, M. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.05.002 · Cited by 69
Self-citationLSTM enhanced by dual-attention-based encoder-decoder for daily peak load forecasting
Zhu, K., Li, Y., Mao, W., Li, F., & Yan, J. (2022) · Electric Power Systems Research · doi:10.1016/j.epsr.2022.107860 · Cited by 61
Metadata
- Authors
- Carrasco, M., & Barbot, A.
- Affiliations
- New York University (US)
- Corresponding author
- Carrasco, Marisa
- Venue
- Current Opinion in Psychology
- Publisher
- Elsevier BV
- Published
- 2019-10
- Volume
- 29
- Pages
- 56-64
- ISSN
- 2352-250X (ISSN-L)
- PMC
- PMC7661009
- OpenAlex
- W2932325023
- Cited by
- 161
- References
- 95
- Citations by year
- 2026: 16 · 2025: 20 · 2024: 16 · 2023: 40 · 2022: 17 · 2021: 21 · 2020: 19 · 2019: 10
- FWCI
- 1.70
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Psychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R01 EY019693, NEI R01 EY027401)
- 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
- spatial attention, visual appearance, subjective experience, attentional capture, visual perception, perceptual dimensions
- MeSH terms
- Attention, Brain, Humans, Photic Stimulation, Visual Perception, Contrast Sensitivity
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
