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Emergent Dynamical Properties of the BCM Learning Rule
The Bienenstock–Cooper–Munro (BCM) learning rule provides a simple setup for synaptic modification that combines a Hebbian product rule with a homeostatic mechanism that keeps the weights bounded. The homeostatic part of the learning rule depends on the time average of the post-synaptic activity and...
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| 出版年: | J Math Neurosci |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer Berlin Heidelberg
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5318375/ https://ncbi.nlm.nih.gov/pubmed/28220467 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13408-017-0044-6 |
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