The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Coding of Border Ownership in Monkey Visual Cortex
Open accessAbstract
Areas V1 and V2 of the visual cortex have traditionally been conceived as stages of local feature representations. We investigated whether neural responses carry information about how local features belong to objects. Single-cell activity was recorded in areas V1, V2, and V4 of awake behaving monkeys. Displays were used in which the same local feature (contrast edge or line) could be presented as part of different figures. For example, the same light-dark edge could be the left side of a dark square or the right side of a light square. Each display was also presented with reversed contrast. We found significant modulation of responses as a function of the side of the figure in >50% of neurons of V2 and V4 and in 18% of neurons of the top layers of V1. Thus, besides the local contrast border information, neurons were found to encode the side to which the border belongs ("border ownership coding"). A majority of these neurons coded border ownership and the local polarity of luminance-chromaticity contrast. The others were insensitive to contrast polarity. Another 20% of the neurons of V2 and V4, and 48% of top layer V1, coded local contrast polarity, but not border ownership. The border ownership-related response differences emerged soon (<25 msec) after the response onset. In V2 and V4, the differences were found to be nearly independent of figure size up to the limit set by the size of our display (21 degrees ). Displays that differed only far outside the conventional receptive field could produce markedly different responses. When tested with more complex displays in which figure-ground cues were varied, some neurons produced invariant border ownership signals, others failed to signal border ownership for some of the displays, but neurons that reversed signals were rare. The influence of visual stimulation far from the receptive field center indicates mechanisms of global context integration. The short latencies and incomplete cue invariance suggest that the border-ownership effect is generated within the visual cortex rather than projected down from higher levels.
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
Ferrier lecture. Functional architecture of macaque monkey visual cortex
Hubel, D. H., & Wiesel, T. N. (1977) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1977.0085 · Cited by 2,608
The neurophysiology of figure-ground segregation in primary visual cortex
Lamme, V. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-02-01605.1995 · Cited by 946
Schiller, P. H., Finlay, B. L., & Volman, S. F. (1976) · Journal of Neurophysiology · doi:10.1152/jn.1976.39.6.1288 · Cited by 458
Cited by
Wagemans, J., Elder, J. H., Kubovy, M., Palmer, S. E., Peterson, M. A., Singh, M., & von der Heydt, R. (2012) · Psychological Bulletin · doi:10.1037/a0029333 · Cited by 1,539
Self-citationTop-down influences on visual processing
Gilbert, C. D., & Li, W. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3476 · Cited by 1,224
Image Signature: Highlighting Sparse Salient Regions
Hou, X., Harel, J., & Koch, C. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.146 · Cited by 834
Orientation Selectivity in Macaque V1: Diversity and Laminar Dependence
Ringach, D. L., Shapley, R. M., & Hawken, M. J. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-13-05639.2002 · Cited by 649
Shape Representation in Area V4: Position-Specific Tuning for Boundary Conformation
Pasupathy, A., & Connor, C. E. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.5.2505 · Cited by 483
Metadata
- Authors
- Zhou, H., Friedman, H. S., & von der Heydt, R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2000-09-01
- Volume
- 20
- Issue
- 17
- Pages
- 6594-6611
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2123335490
- Cited by
- 726
- References
- 3
- FWCI
- 9.53
- 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: Coding of Border Ownership in Monkey Visual Cortex. https://app.cochat.ai/papers/10.1523/jneurosci.20-17-06594.2000
- The paper
- Zhou, H., Friedman, H. S., & von der Heydt, R. (2000). Coding of Border Ownership in Monkey Visual Cortex. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.20-17-06594.2000
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.