Chunking as the result of an efficiency computation trade-off
Complex motions can be achieved by chunking together simple movements at the cost of producing smooth, efficient trajectories. Here the authors apply a new algorithm to monkeys learning complex motor sequences and show that optimization initially occurs within small chunks that are later combined.
Guardado en:
Autores principales: | Pavan Ramkumar, Daniel E. Acuna, Max Berniker, Scott T. Grafton, Robert S. Turner, Konrad P. Kording |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2016
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Materias: | |
Acceso en línea: | https://doaj.org/article/6a10dbb7ff8a4aa189aa7615440349c2 |
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