The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A Boolean map theory of visual attention.
Abstract
UNLABELLED: A theory is presented that attempts to answer two questions. What visual contents can an observer consciously access at one moment? ANSWER: only one feature value (e.g., green) per dimension, but those feature values can be associated (as a group) with multiple spatially precise locations (comprising a single labeled Boolean map). How can an observer voluntarily select what to access? ANSWER: in one of two ways: (a) by selecting one feature value in one dimension (e.g., selecting the color red) or (b) by iteratively combining the output of (a) with a preexisting Boolean map via the Boolean operations of intersection and union. Boolean map theory offers a unified interpretation of a wide variety of visual attention phenomena usually treated in separate literatures. In so doing, it also illuminates the neglected phenomena of attention to structure.
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.
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
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670 · cited 1×
“On the other hand, a large literature on visual attention relating to the cuing paradigm (e.g., Downing, 1988; Eriksen & St. James, 1986; Gobell, Tseng, & Sperling, 2004; Posner, 1980; Posner, Snyder, & Davidson, 1980; Yeshurun & Carrasco, 1998) has focused on processing optimization.”
BackgroundNeural 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
Eye movements in reading and information processing: 20 years of research
Rayner, K. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.3.372 · Cited by 7,979
Forest before trees: The precedence of global features in visual perception
Navon, D. (1977) · Cognitive Psychology · doi:10.1016/0010-0285(77)90012-3 · Cited by 4,005
A sensorimotor account of vision and visual consciousness
O'Regan, J. K., & Noë, A. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000115 · Cited by 3,126
Object vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947
Involuntary covert orienting is contingent on attentional control settings
Folk, C. L., Remington, R. W., & Johnston, J. C. (1992) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.18.4.1030 · Cited by 2,487
Guided search: An alternative to the feature integration model for visual search.
Wolfe, J. M., Cave, K. R., & Franzel, S. L. (1989) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037//0096-1523.15.3.419 · Cited by 2,147
Visual attention within and around the field of focal attention: A zoom lens model
Eriksen, C. W., & St. James, J. D. (1986) · Perception & Psychophysics · doi:10.3758/bf03211502 · Cited by 1,907
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703
Cited by
Consciousness, accessibility, and the mesh between psychology and neuroscience
Block, N. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07002786 · Cited by 1,146
Different states in visual working memory: when it guides attention and when it does not
Olivers, C. N. L., Peters, J., Houtkamp, R., & Roelfsema, P. R. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.004 · Cited by 678
The Border Between Seeing and Thinking
Block, N. (2023) · doi:10.1093/oso/9780197622223.001.0001 · Cited by 367
Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis
Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Belardinelli, M. O., Mattia, D., & Cincotti, F. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00732 · Cited by 162
The Transition to Minimal Consciousness through the Evolution of Associative Learning
Bronfman, Z. Z., Ginsburg, S., & Jablonka, E. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01954 · Cited by 133
“A related requirement if for top–down attention, which is considered by many to be necessary for integrating multi-feature stimuli into a compound (Treisman and Gelade, 1980; Huang and Pashler, 2007).”
Background
Metadata
- Authors
- Huang, L., & Pashler, H.
- Venue
- Psychological Review
- Published
- 2007
- Volume
- 114
- Issue
- 3
- Pages
- 599-631
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2069462840
- Cited by
- 301
- References
- 12
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- closed
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 Boolean map theory of visual attention. https://app.cochat.ai/papers/10.1037/0033-295x.114.3.599
- The paper
- Huang, L., & Pashler, H. (2007). A Boolean map theory of visual attention. Psychological Review. https://doi.org/10.1037/0033-295x.114.3.599
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
