文章基本信息

标题：The order of complexity of visuomotor learning
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作者：John Kim ; Fariya Mostafa ; Douglas Blair Tweed 等
期刊名称：BMC Neuroscience
印刷版ISSN：1471-2202
电子版ISSN：1471-2202
出版年度：2017
卷号：18
期号：1
页码：50
DOI：10.1186/s12868-017-0368-x
语种：English
出版社：BioMed Central
摘要：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.
关键词：Learning algorithms ; Adaptive control ; Sensorimotor systems