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Biological image motion processing: A review
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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
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Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703
Maunsell, J., & van Essen, D. (1983) · The Journal of Neuroscience · doi:10.1523/jneurosci.03-12-02563.1983 · Cited by 1,602
Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976) · Journal of Neurophysiology · doi:10.1152/jn.1976.39.6.1288 · Cited by 458
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Metadata
- Authors
- Nakayama, K.
- Venue
- Vision Research
- Publisher
- Elsevier BV
- Published
- 1985-11
- Volume
- 25
- Issue
- 5
- Pages
- 625-660
- ISSN
- 0042-6989 (ISSN-L)
- OpenAlex
- W2092913551
- Cited by
- 885
- References
- 7
- FWCI
- 13.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Biological image motion processing: A review. https://app.cochat.ai/papers/10.1016/0042-6989(85)90171-3
- The paper
- Nakayama, K. (1985). Biological image motion processing: A review. Vision Research. https://doi.org/10.1016/0042-6989(85)90171-3
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.