The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Computational evidence for a rivalry hierarchy in vision
Open accessAbstract
Cortical-form vision comprises multiple, hierarchically arranged areas with feedforward and feedback interconnections. This complex architecture poses difficulties for attempts to link perceptual phenomena to activity at a particular level of the system. This difficulty has been especially salient in studies of binocular rivalry alternations, where there is seemingly conflicting evidence for a locus in primary visual cortex or alternatively in higher cortical areas devoted to object perception. Here, I use a competitive neural model to demonstrate that the data require at least two hierarchic rivalry stages for their explanation. This model demonstrates that competitive inhibition in the first rivalry stage can be eliminated by using suitable stimulus dynamics, thereby revealing properties of a later stage, a result obtained with both spike-rate and conductance-based model neurons. This result provides a synthesis of competing rivalry theories and suggests that neural competition may be a general characteristic throughout the form-vision hierarchy.
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
Receptive fields and functional architecture of monkey striate cortex
Hubel, D. H., & Wiesel, T. N. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008455 · Cited by 6,568
Hierarchical models of object recognition in cortex
Riesenhuber, M., & Poggio, T. (1999) · Nature Neuroscience · doi:10.1038/14819 · Cited by 3,309
Intrinsic firing patterns of diverse neocortical neurons
Connors, B. W., & Gutnick, M. J. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90185-d · Cited by 1,448
Information processing in the primate visual system: an integrated systems perspective
Van Essen, D. C., Anderson, C. H., & Felleman, D. J. (1992) · Science · doi:10.1126/science.1734518 · Cited by 1,266
Striate cortex of monkey and cat: contrast response function.
Albrecht, D. G., & Hamilton, D. B. (1982) · Journal of Neurophysiology · doi:10.1152/jn.1982.48.1.217 · Cited by 950
Activity changes in early visual cortex reflect monkeys' percepts during binocular rivalry
Leopold, D. A., & Logothetis, N. K. (1996) · Nature · doi:10.1038/379549a0 · Cited by 929
Binocular Rivalry and Visual Awareness in Human Extrastriate Cortex
Tong, F., Nakayama, K., Vaughan, J. T., & Kanwisher, N. (1998) · Neuron · doi:10.1016/s0896-6273(00)80592-9 · Cited by 855
Levelt, W. J. M. (1968) · MPG.PuRe (Max Planck Society) · Cited by 809
Consciousness and neuroscience
Crick, F. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.2.97 · Cited by 760
Coding of image contrast in central visual pathways of the macaque monkey
Sclar, G., Maunsell, J. H. R., & Lennie, P. (1990) · Vision Research · doi:10.1016/0042-6989(90)90123-3 · Cited by 662
Cited by
Predictive coding explains binocular rivalry: an epistemological review
Hohwy, J., Roepstorff, A., & Friston, K. (2008) · Cognition · doi:10.1016/j.cognition.2008.05.010 · Cited by 546
Cortical Microcircuit Dynamics Mediating Binocular Rivalry: The Role of Adaptation in Inhibition
Theodoni, P., Panagiotaropoulos, T. I., Kapoor, V., Logothetis, N. K., & Deco, G. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00145 · Cited by 338
A gain-control theory of binocular combination
Ding, J., & Sperling, G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0509629103 · Cited by 311
Hard criteria for empirical theories of consciousness
Doerig, A., Schurger, A., & Herzog, M. H. (2021) · Cognitive Neuroscience · doi:10.1080/17588928.2020.1772214 · Cited by 194
“Figure reproduced with permission from Wilson (2003) Copyright (2003) National Academy of Sciences, U.S.A. irretrievably suppressed the target representation, the second mask could not render it conscious again).”
MethodVisual sensitivity underlying changes in visual consciousness
Alais, D., Cass, J., O'Shea, R. P., & Blake, R. (2010) · Current Biology · doi:10.1016/j.cub.2010.06.015 · Cited by 166
Metadata
- Authors
- Wilson, H. R.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2003-11-11
- Volume
- 100
- Issue
- 24
- Pages
- 14499-14503
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2161967412
- Cited by
- 411
- References
- 27
- FWCI
- 5.66
- 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: Computational evidence for a rivalry hierarchy in vision. https://app.cochat.ai/papers/10.1073/pnas.2333622100
- The paper
- Wilson, H. R. (2003). Computational evidence for a rivalry hierarchy in vision. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2333622100
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.