The free-energy principle: a unified brain theory?

被引：4040

作者：

Friston, Karl J. ^{[1
]}

机构：

[1] UCL, Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England

来源：

NATURE REVIEWS NEUROSCIENCE | 2010年 / 11卷 / 02期

基金：

英国惠康基金;

关键词：

BAYESIAN-INFERENCE; UNCERTAINTY; DOPAMINE; DYNAMICS; MODEL; PERCEPTION; ATTENTION; NETWORKS; REWARD; SYNCHRONIZATION;

D O I：

10.1038/nrn2787

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories-optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.

引用

页码：127 / 138

页数：12

共 130 条

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