Action and behavior: a free-energy formulation
Action and behavior: a free-energy formulation
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DOI：
10.1007/s00422-010-0364-z
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发表时间：
2010-03-01
影响因子：
1.9
通讯作者：
Kiebel, Stefan J.
中科院分区：
文献类型：
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作者：
Friston, Karl J.;Daunizeau, Jean;Kiebel, Stefan J.
我们之前曾试图在自由能量原理下解释感知推理和学习，该原理遵循亥姆霍兹的议程，以能量最小化的方式理解大脑。这很容易证明，对感官数据的原因进行推断可以被看作是对感官输入可能性的自由能界的最小化，给出了它们是如何产生的内部模型。在本文中，我们将考虑如果对数据本身进行采样以最小化这个边界将会发生什么。由此可见，随后的主动抽样或推理是由基于自适应代理存在的遍历论证所强制的。此外，它还解释了运动行为的许多方面；从视网膜稳定到目标寻找。特别是，它表明运动控制可以被理解为实现对本体感觉的先前期望。这个公式可以解释为什么适应性行为出现在生物制剂中，并提出了一个简单的替代最优控制理论。我们使用眼动控制模拟来说明这些要点，然后将相同的原理应用于提示和目标导向的运动。简而言之，自由能公式可能为运动控制提供了另一种视角，使其与感知密切相关。
We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy minimization. It is fairly easy to show that making inferences about the causes of sensory data can be cast as the minimization of a free-energy bound on the likelihood of sensory inputs, given an internal model of how they were caused. In this article, we consider what would happen if the data themselves were sampled to minimize this bound. It transpires that the ensuing active sampling or inference is mandated by ergodic arguments based on the very existence of adaptive agents. Furthermore, it accounts for many aspects of motor behavior; from retinal stabilization to goal-seeking. In particular, it suggests that motor control can be understood as fulfilling prior expectations about proprioceptive sensations. This formulation can explain why adaptive behavior emerges in biological agents and suggests a simple alternative to optimal control theory. We illustrate these points using simulations of oculomotor control and then apply to same principles to cued and goal-directed movements. In short, the free-energy formulation may provide an alternative perspective on the motor control that places it in an intimate relationship with perception.