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Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum
Classical models of cerebellar learning posit that climbing fibers operate according to a supervised learning rule to instruct changes in motor output by signaling the occurrence of movement errors. However, cerebellar output is also associated with non-motor behaviors, and recently with modulating...
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| Publicado no: | eLife |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
eLife Sciences Publications, Ltd
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6845228/ https://ncbi.nlm.nih.gov/pubmed/31509108 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.46764 |
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