Learning rules and network repair in spike-timing-based computation networks
Plasticity in connections between neurons allows learning and adaptation, but it also allows noise to degrade the function of a network. Ongoing network self-repair is thus necessary. We describe a method to derive spike-timing-dependent plasticity rules for self-repair, based on the firing patterns...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2003
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC314186/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/14694191/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.2536316100 |
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