The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Absolute Stability of Global Pattern Formation and Parallel Memory Storage by Competitive Neural Networks
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Citations
Cites
The Hypercycle: A principle of natural self-organization Part B: The abstract hypercycle
Eigen, M., & Schuster, P. (1978) · Naturwissenschaften · doi:10.1007/bf00420631 · Cited by 702
Cited by
Bidirectional associative memories
Kosko, B. (1988) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.87054 · Cited by 2,070
High-order neural network structures for identification of dynamical systems
Kosmatopoulos, E. B., Polycarpou, M. M., Christodoulou, M. A., & Ioannou, P. A. (1995) · IEEE Transactions on Neural Networks · doi:10.1109/72.363477 · Cited by 802
Supervised neural networks for the classification of structures
Sperduti, A., & Starita, A. (1997) · IEEE Transactions on Neural Networks · doi:10.1109/72.572108 · Cited by 666
Delay-independent stability in bidirectional associative memory networks
Gopalsamy, K., & He, X.-Z. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.329700 · Cited by 560
Synchronization of Coupled Connected Neural Networks With Delays
Lu, W., & Chen, T. (2004) · IEEE Transactions on Circuits and Systems I: Regular Papers · doi:10.1109/tcsi.2004.838308 · Cited by 434
Metadata
- Authors
- Cohen, M. A., & Grossberg, S.
- Venue
- Advances in Psychology
- Publisher
- Elsevier
- Published
- 1987
- Pages
- 288-308
- ISSN
- 0166-4115 (ISSN-L)
- OpenAlex
- W2310420328
- Cited by
- 279
- References
- 1
- FWCI
- 25.19
- Type
- book chapter
- Language
- en
- Open access
- closed
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- The paper
- Cohen, M. A., & Grossberg, S. (1987). Absolute Stability of Global Pattern Formation and Parallel Memory Storage by Competitive Neural Networks. Advances in Psychology. https://doi.org/10.1016/s0166-4115(08)60913-9
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.