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The order of complexity of visuomotor learning

BACKGROUND: Learning algorithms come in three orders of complexity: zeroth-order (perturbation), first-order (gradient descent), and second-order (e.g., quasi-Newton). But which of these are used in the brain? We trained 12 people to shoot targets, and compared them to simulated subjects that learne...

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Detalles Bibliográficos
Autores principales: Kim, John, Mostafa, Fariya, Tweed, Douglas Blair
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469048/
https://www.ncbi.nlm.nih.gov/pubmed/28606114
http://dx.doi.org/10.1186/s12868-017-0368-x
Descripción
Sumario:BACKGROUND: Learning algorithms come in three orders of complexity: zeroth-order (perturbation), first-order (gradient descent), and second-order (e.g., quasi-Newton). But which of these are used in the brain? We trained 12 people to shoot targets, and compared them to simulated subjects that learned the same task using various algorithms. RESULTS: Humans learned significantly faster than optimized zeroth-order algorithms, but slower than second-order ones. CONCLUSIONS: Human visuomotor learning is too fast to be explained by zeroth-order processes alone, and must involve first or second-order mechanisms. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12868-017-0368-x) contains supplementary material, which is available to authorized users.