The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cognitron: A self-organizing multilayered neural network
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Citations
Cites
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
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
Development of the brain depends on the visual environment
BLAKEMORE, C., & COOPER, G. F. (1970) · Nature · doi:10.1038/228477a0 · Cited by 1,005
Cited by
Gradient-based learning applied to document recognition
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998) · Proceedings of the IEEE · doi:10.1109/5.726791 · Cited by 58,805
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., & Guo, B. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00986 · Cited by 35,534
“Its complexity is still quadratic to image size, while ours is linear and also operates locally which has proven beneficial in modeling the high correlation in visual signals [32, 22, 37].”
BackgroundFukushima, K. (1980) · Biological Cybernetics · doi:10.1007/bf00344251 · Cited by 5,759
Self-citationDueling Network Architectures for Deep Reinforcement Learning
Wang, Z., Schaul, T., Hessel, M., van Hasselt, H., Lanctot, M., & de Freitas, N. (2015) · arXiv · doi:10.48550/arxiv.1511.06581 · Cited by 3,300
Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition
Fukushima, K., & Miyake, S. (1982) · Lecture Notes in Biomathematics · doi:10.1007/978-3-642-46466-9_18 · Cited by 991
Self-citation
Metadata
- Authors
- Fukushima, K.
- Venue
- Biological Cybernetics
- Published
- 1975
- Volume
- 20
- Issue
- 3-4
- Pages
- 121-136
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2010315761
- Cited by
- 757
- References
- 3
- FWCI
- 2.11
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Cognitron: A self-organizing multilayered neural network. https://app.cochat.ai/papers/10.1007/bf00342633
- The paper
- Fukushima, K. (1975). Cognitron: A self-organizing multilayered neural network. Biological Cybernetics. https://doi.org/10.1007/bf00342633
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.
