The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
The computation of orientation statistics from visual texture
Open accessOverview
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
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703 · cited 1×
“Most psychophysical .,;tudies of texture perception, largely influenced by the work of Julesz (e.g. Julesz, 1981), have concentrated on the extraction of texture boundaries.”
Background
Cited by
Compulsory averaging of crowded orientation signals in human vision
Parkes, L., Lund, J., Angelucci, A., Solomon, J. A., & Morgan, M. (2001) · Nature Neuroscience · doi:10.1038/89532 · Cited by 893
Representing multiple objects as an ensemble enhances visual cognition
Alvarez, G. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.01.003 · Cited by 586
Consciousness cannot be separated from function
Cohen, M. A., & Dennett, D. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.06.008 · Cited by 542
An embarrassment of richnesses: the PFC isn’t the content NCC
Kozuch, B. (2024) · Neuroscience of Consciousness · doi:10.1093/nc/niae017 · Cited by 9
Metadata
- Authors
- Dakin, S. C., & Watt, R. J.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1997-11
- Volume
- 37
- Issue
- 22
- Pages
- 3181-3192
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2031731579
- Cited by
- 235
- References
- 2
- FWCI
- 1.56
- Type
- journal article
- Language
- en
- Open access
- bronze
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: The computation of orientation statistics from visual texture. https://app.cochat.ai/papers/10.1016/s0042-6989(97)00133-8
- The paper
- Dakin, S. C., & Watt, R. J. (1997). The computation of orientation statistics from visual texture. Vision Research. https://doi.org/10.1016/s0042-6989(97)00133-8
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.
