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...
محفوظ في:
| الحاوية / القاعدة: | Proc Natl Acad Sci U S A |
|---|---|
| المؤلفون الرئيسيون: | , |
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
National Academy of Sciences
2003
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | 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 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|