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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“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]
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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
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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