The DOI matches its Crossref record; 269 of the 269 references it cites were found in a registry or an index.
The development of topography in the visual cortex: a review of models
Abstract
The repetitive stochastic patterns of eye dominance and orientation preference found in the mammalian visual cortex have attracted much attention from theoretical neurobiologists during the last two decades. Reasons for this include the visually intriguing nature of the patterns and the fact that many aspects of their development seem likely to be dependent upon both spontaneous and visually driven patterns of neural activity. Understanding these processes holds out the promise that general theories of learning and memory may be derived from those found to be applicable to the visual cortex. It has turned out, in fact, that remarkably simple models, based on Hebbian synaptic plasticity, intracortical interactions and competitive interactions between cells and growing axons, have been able to explain much of the phenomenology. This article reviews the models of topographic organization in the visual cortex in a roughly historical sequence, beginning with von der Malsburg's paper 1973 paper in Kybernetik on self-organization of orientation selectivity. The principles on which each of the models is based are explained, and the plausibility of each model and the extent to which it is able to account for the relevant experimental data are evaluated. Attention is drawn to the underlying similarities and differences between the models and suggestions are made for future directions in research.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb00917.x · Cited by 48,949
Neural Networks: A Comprehensive Foundation
Haykin, S. (1998) · Cited by 30,070
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
The Mathematical Theory of Communication
Shannon, C. E., Weaver, W., & Wiener, N. (1950) · Physics Today · doi:10.1063/1.3067010 · Cited by 9,801
Self-organized formation of topologically correct feature maps
Kohonen, T. (1982) · Biological Cybernetics · doi:10.1007/bf00337288 · Cited by 9,529
Self-Organization and Associative Memory
Kohonen, T. (1989) · Springer Series in Information Sciences · doi:10.1007/978-3-642-88163-3 · Cited by 8,740
Receptive fields and functional architecture of monkey striate cortex
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Self-Organization and Associative Memory
Kohonen, T. (1988) · Springer Series in Information Sciences · doi:10.1007/978-3-662-00784-6 · Cited by 3,812
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Cited by
Synaptic Activity and the Construction of Cortical Circuits
Katz, L. C., & Shatz, C. J. (1996) · Science · doi:10.1126/science.274.5290.1133 · Cited by 3,048
Sterling, P., & Laughlin, S. (2015) · doi:10.7551/mitpress/9780262028707.001.0001 · Cited by 482
Spatiotemporal dynamics of continuum neural fields
Bressloff, P. C. (2012) · Journal of Physics A: Mathematical and Theoretical · doi:10.1088/1751-8113/45/3/033001 · Cited by 414
MAPS IN THE BRAIN: What Can We Learn from Them?
Chklovskii, D. B., & Koulakov, A. A. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144226 · Cited by 366
Early development of ocular dominance columns
Crowley, J. C., & Katz, L. C. (2000) · Science · doi:10.1126/science.290.5495.1321 · Cited by 303
Metadata
- Authors
- Swindale, N.
- Venue
- Network: Computation in Neural Systems
- Publisher
- Informa UK Limited
- Published
- 1996-05-01
- Volume
- 7
- Issue
- 2
- Pages
- 161-247
- ISSN
- 0954-898X (ISSN-L)
- 1361-6536
- OpenAlex
- W2026147435
- Cited by
- 398
- References
- 269
- FWCI
- 10.29
- Type
- journal article
- Language
- en
- Open access
- closed
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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.