PMID- 38322807
OWN - NLM
STAT- MEDLINE
DCOM- 20240208
LR  - 20240417
IS  - 1662-5110 (Electronic)
IS  - 1662-5110 (Linking)
VI  - 18
DP  - 2024
TI  - I like therefore I can, and I can therefore I like: the role of self-efficacy and 
      affect in active inference of allostasis.
PG  - 1283372
LID - 10.3389/fncir.2024.1283372 [doi]
LID - 1283372
AB  - Active inference (AIF) is a theory of the behavior of information-processing open 
      dynamic systems. It describes them as generative models (GM) generating 
      inferences on the causes of sensory input they receive from their environment. 
      Based on these inferences, GMs generate predictions about sensory input. The 
      discrepancy between a prediction and the actual input results in prediction 
      error. GMs then execute action policies predicted to minimize the prediction 
      error. The free-energy principle provides a rationale for AIF by stipulating that 
      information-processing open systems must constantly minimize their free energy 
      (through suppressing the cumulative prediction error) to avoid decay. The theory 
      of homeostasis and allostasis has a similar logic. Homeostatic set points are 
      expectations of living organisms. Discrepancies between set points and actual 
      states generate stress. For optimal functioning, organisms avoid stress by 
      preserving homeostasis. Theories of AIF and homeostasis have recently converged, 
      with AIF providing a formal account for homeo- and allostasis. In this paper, we 
      present bacterial chemotaxis as molecular AIF, where mutual constraints by 
      extero- and interoception play an essential role in controlling bacterial 
      behavior supporting homeostasis. Extending this insight to the brain, we propose 
      a conceptual model of the brain homeostatic GM, in which we suggest partition of 
      the brain GM into cognitive and physiological homeostatic GMs. We outline their 
      mutual regulation as well as their integration based on the free-energy 
      principle. From this analysis, affect and self-efficacy emerge as the main 
      regulators of the cognitive homeostatic GM. We suggest fatigue and depression as 
      target neurocognitive phenomena for studying the neural mechanisms of such 
      regulation.
CI  - Copyright (c) 2024 Krupnik.
FAU - Krupnik, Valery
AU  - Krupnik V
AD  - Department of Mental Health, Naval Hospital Camp Pendleton, Camp Pendleton, 
      Oceanside, CA, United States.
LA  - eng
PT  - Journal Article
DEP - 20240122
PL  - Switzerland
TA  - Front Neural Circuits
JT  - Frontiers in neural circuits
JID - 101477940
SB  - IM
MH  - *Allostasis/physiology
MH  - Self Efficacy
MH  - Brain/physiology
PMC - PMC10839114
OTO - NOTNLM
OT  - active inference
OT  - affect
OT  - affective charge
OT  - allostasis
OT  - depression
OT  - fatigue
OT  - interoception
OT  - self-efficacy
COIS- The author declares that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2024/02/07 06:42
MHDA- 2024/02/08 06:42
PMCR- 2024/01/01
CRDT- 2024/02/07 04:07
PHST- 2023/08/25 00:00 [received]
PHST- 2024/01/02 00:00 [accepted]
PHST- 2024/02/08 06:42 [medline]
PHST- 2024/02/07 06:42 [pubmed]
PHST- 2024/02/07 04:07 [entrez]
PHST- 2024/01/01 00:00 [pmc-release]
AID - 10.3389/fncir.2024.1283372 [doi]
PST - epublish
SO  - Front Neural Circuits. 2024 Jan 22;18:1283372. doi: 10.3389/fncir.2024.1283372. 
      eCollection 2024.