Optimal properties of analog perceptrons with excitatory weights.
The cerebellum is a brain structure which has been traditionally devoted to supervised learning. According to this theory, plasticity at the Parallel Fiber (PF) to Purkinje Cell (PC) synapses is guided by the Climbing fibers (CF), which encode an 'error signal'. Purkinje cells have thus been modeled...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Public Library of Science (PLoS)
2013-01-01
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| Серія: | PLoS Computational Biology |
| Онлайн доступ: | http://europepmc.org/articles/PMC3578758?pdf=render |
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