The DOI matches its Crossref record, with a small difference in title or year; 12 of the 12 references it cites were found in a registry or an index.
Competitive Hebbian Learning Rule Forms Perfectly Topology Preserving Maps
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In the citing paper
“TOpologyPreserving knowledge InCrementer [71] relies on the NG network to preserve the feature space topology using a Hebbian learning [42].”
From A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks (2020) · cites this paper as [42]
Citations
Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
Self-organized formation of topologically correct feature maps
Kohonen, T. (1982) · Biological Cybernetics · doi:10.1007/bf00337288 · Cited by 9,529
Kohonen, T. (1990) · Proceedings of the IEEE · doi:10.1109/5.58325 · Cited by 8,414
Sequence regularity and geometry of orientation columns in the monkey striate cortex
Hubel, D. H., & Wiesel, T. N. (1974) · The Journal of Comparative Neurology · doi:10.1002/cne.901580304 · Cited by 1,043
How patterned neural connections can be set up by self-organization
Willshaw, D. J., & von der Malsburg, C. (1976) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.1976.0087 · Cited by 822
Multiple Representations of the Body Within the Primary Somatosensory Cortex of Primates
Kaas, J. H., Nelson, R. J., Sur, M., Lin, C.-S., & Merzenich, M. M. (1979) · Science · doi:10.1126/science.107591 · Cited by 710
A dimension reduction framework for understanding cortical maps
Durbin, R. M., & Mitchison, G. (1990) · Nature · doi:10.1038/343644a0 · Cited by 440
Computational Maps In The Brain
Knudsen, E. I., du Lac, S., & Esterly, S. D. (1987) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.10.030187.000353 · Cited by 390
Variants of self-organizing maps
Kangas, J. A., Kohonen, T., & Laaksonen, J. T. (1990) · IEEE Transactions on Neural Networks · doi:10.1109/72.80208 · Cited by 329
Topology-conserving maps for learning visuo-motor-coordination
Ritter, H. J., Martinetz, T., & Schulten, K. J. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90001-4 · Cited by 263
Self-citation
Research works printed but not linked: 8
- Ritter H, Martinetz T, Schulten K (1992), Neural Computation and Self-Organizing Maps. Addison-Wesley, Reading, Mass., 1992.
- Kohonen T, Mäkisara K, Saramäki T (1984), Proc. 7th Int. Conf. on Pat. Recog., Montreal, pp 182–185.
- Brandt WD, Behme H, Strube HW (1991), Fortschritte zur Akustik-DAGA 91, Bad Honnef, DPG-GMBH, Germany, pp 1057–1060.
- Nasrabadi NM, Feng Y (1988), IEEE Int. Conf. on Neural Networks, San Diego, 1988, pp 1101–1108.
- Fritzke B (1991), Artificial Neural Networks, vol I, Kohonen T. et al. (eds.), North Holland, Amsterdam, pp. 403–408.
- Martinetz T, Schulten K (1991), Artificial Neural Networks, vol I, Kohonen T. et al. (eds.), North Holland, Amsterdam, pp. 397–402.
- Hebb D (1949), Organization of Behavior. Wiley, New York.
- Martinetz T, Berkovich S, Schulten K (1992), IEEE Transactions on Neural Networks (in press).
Cited by
Sorted by citations
A Growing Neural Gas Network Learns Topologies
Fritzke, B. (1994) · Cited by 1,678
Growing cell structures—A self-organizing network for unsupervised and supervised learning
Fritzke, B. (1994) · Neural Networks · doi:10.1016/0893-6080(94)90091-4 · Cited by 1,268
Few-Shot Class-Incremental Learning
Tao, X., Hong, X., Chang, X., Dong, S., Wei, X., & Gong, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr42600.2020.01220 · Cited by 499
A self-organising network that grows when required
Marsland, S., Shapiro, J., & Nehmzow, U. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00078-3 · Cited by 396
Clustering: A neural network approach
Du, K.-L. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.08.007 · Cited by 337
Metadata
- Authors
- Martinetz, T.
- Affiliations
- Siemens (Germany) (DE)
- Corresponding author
- Martinetz, Thomas
- ORCID
- Martinetz, Thomas
- Venue
- ICANN ’93
- Publisher
- Springer London
- Published
- 1993
- Pages
- 427-434
- OpenAlex
- W2112796159
- Cited by
- 256
- References
- 11
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 2 · 2023: 7 · 2022: 7 · 2021: 8 · 2020: 6 · 2019: 6 · 2018: 9 · 2017: 8 · 2016: 14 · 2015: 10 · 2014: 11 · 2013: 6 · 2012: 10
- FWCI
- 3.16
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Topological and Geometric Data Analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and ELM
- Keywords
- Hebbian learning, competitive learning, feature manifold, Delaunay triangulation, lateral connections, neighborhood relations, neural network architecture, manifold learning
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