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Network constraints on learnability of probabilistic motor sequences
Human learners are adept at grasping the complex relationships underlying incoming sequential input(1). In the present work, we formalize complex relationships as graph structures(2) derived from temporal associations(3,4) in motor sequences. Next, we explore the extent to which learners are sensiti...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474692/ https://www.ncbi.nlm.nih.gov/pubmed/30988437 http://dx.doi.org/10.1038/s41562-018-0463-8 |