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The order of complexity of visuomotor learning

机译:视觉运动学习的复杂性顺序

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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.
机译:背景学习算法具有三个复杂度:零阶(摄动),一阶(梯度下降)和二阶(例如准牛顿)。但是,大脑中使用了哪些?我们训练了12个人射击目标,并将其与使用各种算法学习相同任务的模拟对象进行了比较。结果人类学习的速度比优化的零阶算法快得多,但比二阶算法慢。结论人类视觉运动学习的速度太快,无法仅通过零阶过程来解释,并且必须涉及一阶或二阶机制。

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