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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...

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Detalles Bibliográficos
Publicado en:Nat Hum Behav
Main Authors: Kahn, Ari E., Karuza, Elisabeth A., Vettel, Jean M., Bassett, Danielle S.
Formato: Artigo
Idioma:Inglês
Publicado: 2018
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6474692/
https://ncbi.nlm.nih.gov/pubmed/30988437
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41562-018-0463-8
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