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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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 |
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. |
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