Action and behavior: a free-energy formulation.

Abstract:

: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.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Friston KJ,Daunizeau J,Kilner J,Kiebel SJ

doi

10.1007/s00422-010-0364-z

subject

Has Abstract

pub_date

2010-03-01 00:00:00

pages

227-60

issue

3

eissn

0340-1200

issn

1432-0770

journal_volume

102

pub_type

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