The free energy principle (FEP) has been presented as a unified brain theory, as a general principle for the self-organization of biological systems, and most recently as a principle for a theory of every thing. Additionally, active inference has been proposed as the process theory entailed by FEP that is able to model the full range of biological and cognitive events. In this paper, we challenge these two claims. We argue that FEP is not the general principle it is claimed to be, and that active inference is not the all-encompassing process theory it is purported to be either. The core aspects of our argumentation are that (i) FEP is just a way to generalize Bayesian inference to all domains by the use of a Markov blanket formalism, a generalization we call the Markov blanket trick; and that (ii) active inference presupposes successful perception and action instead of explaining them.
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http://dx.doi.org/10.1016/j.plrev.2021.09.001 | DOI Listing |
Nat Biomed Eng
January 2025
Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Nat Neurosci
January 2025
Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York City, NY, USA.
Humans and animals have a striking ability to learn relationships between items in experience (such as stimuli, objects and events), enabling structured generalization and rapid assimilation of new information. A fundamental type of such relational learning is order learning, which enables transitive inference (if A > B and B > C, then A > C) and list linking (A > B > C and D > E > F rapidly 'reassembled' into A > B > C > D > E > F upon learning C > D). Despite longstanding study, a neurobiologically plausible mechanism for transitive inference and rapid reassembly of order knowledge has remained elusive.
View Article and Find Full Text PDFBioinformatics
January 2025
Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, 21565, Republic of Korea.
Motivation: Microbiota-derived metabolites significantly impact host biology, prompting extensive research on metabolic shifts linked to the microbiota. Recent studies have explored both direct metabolite analyses and computational tools for inferring metabolic functions from microbial shotgun metagenome data. However, no existing tool specifically focuses on predicting changes in individual metabolite levels, as opposed to metabolic pathway activities, based on shotgun metagenome data.
View Article and Find Full Text PDFJ Med Virol
January 2025
Microbiology Service, Clinic University Hospital, INCLIVA Health Research Institute, Valencia, Spain.
We investigated whether antibody concentrations measured in plasma using the Roche Elecsys® Anti-SARS-CoV-2 S assay (targeting the receptor binding domain, RBD) could estimate levels of Wuhan-Hu-1 and Omicron XBB.1.5 spike-directed antibodies with neutralizing ability (NtAb) or those mediating NK-cell activity.
View Article and Find Full Text PDFCommun Biol
January 2025
Institut Pasteur, CNRS UMR 3528, Université Paris Cité, Structural Microbiology Unit, F-75015, Paris, France.
MoeA, also known as gephyrin in higher eukaryotes, is an enzyme essential for molybdenum cofactor (Moco) biosynthesis and involved in GABA and GlyR receptor clustering at the synapse in animals. We recently discovered that Actinobacteria have a repurposed version of MoeA (Glp) linked to bacterial cell division. Since MoeA exists in all domains of life, our study explores how it gained multifunctionality over time.
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