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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
eLife Sciences Publications, Ltd
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845228/ https://www.ncbi.nlm.nih.gov/pubmed/31509108 http://dx.doi.org/10.7554/eLife.46764 |