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Free energy and inference in living systems
Organisms are non-equilibrium, stationary systems self-organized via spontaneous symmetry breaking and undergoing metabolic cycles with broken detailed balance in the environment. The thermodynamic free-energy (FE) principle describes an organism’s homeostasis as the regulation of biochemical work c...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Royal Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102732/ https://www.ncbi.nlm.nih.gov/pubmed/37065269 http://dx.doi.org/10.1098/rsfs.2022.0041 |
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author | Kim, Chang Sub |
author_facet | Kim, Chang Sub |
author_sort | Kim, Chang Sub |
collection | PubMed |
description | Organisms are non-equilibrium, stationary systems self-organized via spontaneous symmetry breaking and undergoing metabolic cycles with broken detailed balance in the environment. The thermodynamic free-energy (FE) principle describes an organism’s homeostasis as the regulation of biochemical work constrained by the physical FE cost. By contrast, recent research in neuroscience and theoretical biology explains a higher organism’s homeostasis and allostasis as Bayesian inference facilitated by the informational FE. As an integrated approach to living systems, this study presents an FE minimization theory overarching the essential features of both the thermodynamic and neuroscientific FE principles. Our results reveal that the perception and action of animals result from active inference entailed by FE minimization in the brain, and the brain operates as a Schrödinger’s machine conducting the neural mechanics of minimizing sensory uncertainty. A parsimonious model suggests that the Bayesian brain develops the optimal trajectories in neural manifolds and induces a dynamic bifurcation between neural attractors in the process of active inference. |
format | Online Article Text |
id | pubmed-10102732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-101027322023-04-15 Free energy and inference in living systems Kim, Chang Sub Interface Focus Articles Organisms are non-equilibrium, stationary systems self-organized via spontaneous symmetry breaking and undergoing metabolic cycles with broken detailed balance in the environment. The thermodynamic free-energy (FE) principle describes an organism’s homeostasis as the regulation of biochemical work constrained by the physical FE cost. By contrast, recent research in neuroscience and theoretical biology explains a higher organism’s homeostasis and allostasis as Bayesian inference facilitated by the informational FE. As an integrated approach to living systems, this study presents an FE minimization theory overarching the essential features of both the thermodynamic and neuroscientific FE principles. Our results reveal that the perception and action of animals result from active inference entailed by FE minimization in the brain, and the brain operates as a Schrödinger’s machine conducting the neural mechanics of minimizing sensory uncertainty. A parsimonious model suggests that the Bayesian brain develops the optimal trajectories in neural manifolds and induces a dynamic bifurcation between neural attractors in the process of active inference. The Royal Society 2023-04-14 /pmc/articles/PMC10102732/ /pubmed/37065269 http://dx.doi.org/10.1098/rsfs.2022.0041 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Kim, Chang Sub Free energy and inference in living systems |
title | Free energy and inference in living systems |
title_full | Free energy and inference in living systems |
title_fullStr | Free energy and inference in living systems |
title_full_unstemmed | Free energy and inference in living systems |
title_short | Free energy and inference in living systems |
title_sort | free energy and inference in living systems |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102732/ https://www.ncbi.nlm.nih.gov/pubmed/37065269 http://dx.doi.org/10.1098/rsfs.2022.0041 |
work_keys_str_mv | AT kimchangsub freeenergyandinferenceinlivingsystems |