UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Some Interesting Observations on the Free Energy Principle

Friston, KJ; Da Costa, L; Parr, T; (2021) Some Interesting Observations on the Free Energy Principle. Entropy , 23 (8) , Article 1076. 10.3390/e23081076. Green open access

[thumbnail of Some Interesting Observations on the Free Energy Principle.pdf]
Preview
Text
Some Interesting Observations on the Free Energy Principle.pdf - Published Version

Download (1MB) | Preview

Abstract

Biehl et al. (2021) present some interesting observations on an early formulation of the free energy principle. We use these observations to scaffold a discussion of the technical arguments that underwrite the free energy principle. This discussion focuses on solenoidal coupling between various (subsets of) states in sparsely coupled systems that possess a Markov blanket—and the distinction between exact and approximate Bayesian inference, implied by the ensuing Bayesian mechanics.

Type: Article
Title: Some Interesting Observations on the Free Energy Principle
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/e23081076
Publisher version: https://doi.org/10.3390/e23081076
Language: English
Additional information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Keywords: Free energy principle; variational; Bayesian; Markov blanket
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Imaging Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10133812
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item