The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Role of Attention and Perceptual Grouping in Visual Statistical Learning
Open accessAbstract
Statistical learning has been widely proposed as a mechanism by which observers learn to decompose complex sensory scenes. To determine how robust statistical learning is, we investigated the impact of attention and perceptual grouping on statistical learning of visual shapes. Observers were presented with stimuli containing two shapes that were either connected by a bar or unconnected. When observers were required to attend to both locations at which shapes were presented, the degree of statistical learning was unaffected by whether the shapes were connected or not. However, when observers were required to attend to just one of the shapes' locations, statistical learning was observed only when the shapes were connected. These results demonstrate that visual statistical learning is not just a passive process. It can be modulated by both attention and connectedness, and in natural scenes these factors may constrain the role of stimulus statistics in learning.
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
Visual statistical learning in infancy: evidence for a domain general learning mechanism
Kirkham, N. Z., Slemmer, J. A., & Johnson, S. P. (2002) · Cognition · doi:10.1016/s0010-0277(02)00004-5 · Cited by 1,072
Neural organization for the long-term memory of paired associates
Sakai, K., & Miyashita, Y. (1991) · Nature · doi:10.1038/354152a0 · Cited by 743
Incidental Language Learning: Listening (and Learning) Out of the Corner of Your Ear
Saffran, J. R., Newport, E. L., Aslin, R. N., Tunick, R. A., & Barrueco, S. (1997) · Psychological Science · doi:10.1111/j.1467-9280.1997.tb00690.x · Cited by 675
Attentional control of early perceptual learning.
Ahissar, M., & Hochstein, S. (1993) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.90.12.5718 · Cited by 497
Impact of learning on representation of parts and wholes in monkey inferotemporal cortex
Baker, C. I., Behrmann, M., & Olson, C. R. (2002) · Nature Neuroscience · doi:10.1038/nn960 · Cited by 293
Cited by
Implicit learning and statistical learning: one phenomenon, two approaches
Perruchet, P., & Pacton, S. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.03.006 · Cited by 830
Turk-Browne, N. B., Scholl, B. J., Chun, M. M., & Johnson, M. K. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21131 · Cited by 523
Implicit learning as an ability
Kaufman, S. B., DeYoung, C. G., Gray, J. R., Jiménez, L., Brown, J., & Mackintosh, N. (2010) · Cognition · doi:10.1016/j.cognition.2010.05.011 · Cited by 370
Speech segmentation by statistical learning depends on attention
Toro, J. M., Sinnett, S., & Soto-Faraco, S. (2005) · Cognition · doi:10.1016/j.cognition.2005.01.006 · Cited by 296
Conway, C. M. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.01.032 · Cited by 282
Metadata
- Authors
- Baker, C. I., Olson, C. R., & Behrmann, M.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2004-07
- Volume
- 15
- Issue
- 7
- Pages
- 460-466
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2110829145
- Cited by
- 173
- References
- 5
- FWCI
- 2.40
- Type
- journal article
- Language
- en
- Open access
- green
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: Role of Attention and Perceptual Grouping in Visual Statistical Learning. https://app.cochat.ai/papers/10.1111/j.0956-7976.2004.00702.x
- The paper
- Baker, C. I., Olson, C. R., & Behrmann, M. (2004). Role of Attention and Perceptual Grouping in Visual Statistical Learning. Psychological Science. https://doi.org/10.1111/j.0956-7976.2004.00702.x
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.
