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Generalization in vision and motor control

机译:视觉和运动控制的综合

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Learning is more than memory. It is not simply the building of a look-up table of labelled images, or a phone-directory-like list of motor acts and the corresponding sequences of muscle activation. Central to learning and intelligence is the ability to predict, that is, to generalize to new situations, beyond the memory of specific examples. The key to generalization, in turn, is the architecture of the system, more than the rules of synaptic plasticity. We propose a specific architecture for generalization for both the motor and the visual systems, and argue for a canonical microcircuit underlying visual and motor learning.
机译:学习不仅仅是记忆。这不仅仅是建立一张带有标签的图像的查找表,或者是一个类似于电话目录的运动行为列表以及相应的肌肉激活序列。学习和智力的核心是预测能力,即超越特定示例的记忆,将其推广到新情况。反过来,泛化的关键是系统的体系结构,而不是突触可塑性的规则。我们为电机和视觉系统提出了一种通用的体系结构,并提出了在视觉和电机学习基础上的规范微电路。

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