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Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

The cerebellum is known to play a critical role in learning relevant patterns of activity for adaptive motor control, but the underlying network mechanisms are only partly understood. The classical long-term synaptic plasticity between parallel fibers (PFs) and Purkinje cells (PCs), which is driven...

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Detalhes bibliográficos
Main Authors: Luque, Niceto R., Garrido, Jesús A., Carrillo, Richard R., D'Angelo, Egidio, Ros, Eduardo
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2014
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4133770/
https://ncbi.nlm.nih.gov/pubmed/25177290
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00097
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