The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Mathematical formulations of Hebbian learning
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Cites
A synaptic model of memory: long-term potentiation in the hippocampus
Bliss, T. V. P., & Collingridge, G. L. (1993) · Nature · doi:10.1038/361031a0 · Cited by 11,566
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
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
Introduction to the theory of neural computation
(1994) · Neural Networks · doi:10.1016/0893-6080(94)90014-0 · Cited by 6,401
Bi, G.-Q., & Poo, M.-M. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-24-10464.1998 · Cited by 4,744
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
Competitive Hebbian learning through spike-timing-dependent synaptic plasticity
Song, S., Miller, K. D., & Abbott, L. F. (2000) · Nature Neuroscience · doi:10.1038/78829 · Cited by 2,729
Simplified neuron model as a principal component analyzer
Oja, E. (1982) · Journal of Mathematical Biology · doi:10.1007/bf00275687 · Cited by 2,309
Synaptic Modification by Correlated Activity: Hebb's Postulate Revisited
Bi, G.-Q., & Poo, M.-M. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.139 · Cited by 1,489
ART 2: self-organization of stable category recognition codes for analog input patterns
Carpenter, G. A., & Grossberg, S. (1987) · Applied Optics · doi:10.1364/ao.26.004919 · Cited by 1,442
Cited by
Computing with Spiking Neuron Networks
Paugam-Moisy, H., & Bohte, S. (2012) · Handbook of Natural Computing · doi:10.1007/978-3-540-92910-9_10 · Cited by 272
Wörgötter, F., & Porr, B. (2005) · Neural Computation · doi:10.1162/0899766053011555 · Cited by 203
Synaptic Scaling Enables Dynamically Distinct Short- and Long-Term Memory Formation
Tetzlaff, C., Kolodziejski, C., Timme, M., Tsodyks, M., & Wörgötter, F. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003307 · Cited by 54
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
Park, S., & Bak, J. (2023) · arXiv · doi:10.48550/arxiv.2310.03052
Metadata
- Authors
- Gerstner, W., & Kistler, W. M.
- Venue
- Biological Cybernetics
- Published
- 2002-12-01
- Volume
- 87
- Issue
- 5-6
- Pages
- 404-415
- ISSN
- 0340-1200 (ISSN-L)
- OpenAlex
- W2010228425
- Cited by
- 408
- References
- 50
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- green
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- Gerstner, W., & Kistler, W. M. (2002). Mathematical formulations of Hebbian learning. Biological Cybernetics. https://doi.org/10.1007/s00422-002-0353-y
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.
