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Gating by Functionally Indivisible Cerebellar Circuits: a Hypothesis
The attempt to understand the cerebellum has been dominated for years by supervised learning models. The central idea is that a learning algorithm modifies transmission strength at repeatedly co-active synapses, creating memories stored as finely calibrated synaptic weights. As a result, Purkinje ce...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer US
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360902/ https://www.ncbi.nlm.nih.gov/pubmed/33464470 http://dx.doi.org/10.1007/s12311-020-01223-6 |