ArticleBMC neuroscience2017
The order of complexity of visuomotor learning.
Article in BMC neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
backgroundLearning 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.
resultsHumans learned significantly faster than optimized zeroth-order algorithms, but slower than second-order ones.
conclusionsHuman visuomotor learning is too fast to be explained by zeroth-order processes alone, and must involve first or second-order mechanisms.
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