Predictive coding: an account of the mirror neuron system.
Predictive coding: an account of the mirror neuron system.
复制标题
DOI：
10.1007/s10339-007-0170-2
复制
发表时间：
2007-09
影响因子：
1.7
通讯作者：
Frith, Chris D
中科院分区：
文献类型：
--
作者：
Kilner, James M;Friston, Karl J;Frith, Chris D
仅仅通过观察别人的行为就能理解他们的意图吗？许多人认为，这种能力是由大脑的镜像神经元系统通过其直接联系行动和观察。然而，如何准确地通过行动观察来推断意图引起了很多争论。在这里，我们建议，镜像系统的功能可以理解的预测编码框架内，呼吁被称为经验贝叶斯的统计方法。在这个方案中，观察到的动作的最可能的原因可以通过最小化在动作观察期间参与的皮层层次结构的所有级别的预测误差来推断。这个帐户确定了镜像系统在我们从行为中推断意图的能力中的确切作用，并提供了底层计算机制的轮廓。
Is it possible to understand the intentions of other people by simply observing their actions? Many believe that this ability is made possible by the brain’s mirror neuron system through its direct link between action and observation. However, precisely how intentions can be inferred through action observation has provoked much debate. Here we suggest that the function of the mirror system can be understood within a predictive coding framework that appeals to the statistical approach known as empirical Bayes. Within this scheme the most likely cause of an observed action can be inferred by minimizing the prediction error at all levels of the cortical hierarchy that are engaged during action observation. This account identifies a precise role for the mirror system in our ability to infer intentions from actions and provides the outline of the underlying computational mechanisms.