Allostasis: a model of predictive regulation
Peter Sterling
Physiology & Behavior · 2012
What the research tells us
Sterling argues that efficient regulation anticipates demand, coordinates resource allocation and learns from previous errors. Physiological adjustment and anticipatory behavior both contribute to this account.
Scope & interpretation
The paper develops predictive regulation as a theoretical account; its critique of homeostasis represents the author’s position. Read it alongside modern feedback and homeostatic theories, distinguishing physiological examples from broader theoretical inferences.
Study at a glance
- POPULATION & SAMPLE
- Theoretical synthesis; no single trial sample
- EXPOSURE / INTERVENTION / SUBJECT
- Prediction, coordinated physiological effectors, behavior and learning.
- OUTCOMES
- An explanatory account of regulation; illustrative mechanisms and examples, not pooled effect estimates.
- TIME FRAME
- Not applicable to a conceptual model
Cited on this site
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Allostasis
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Editorial & review record
Record for v0.3 · Updated
Editorial responsibility: TAP Editorial Team
Scientific review
Not yet scientifically reviewed
Editorial note
Under the editorial responsibility of the TAP Editorial Team, this publication used AI assistance for content organization and editing. Scientific review is recorded separately on this page.
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How responsibilities and review are recorded ↗Scope of this reading note
PubMed bibliographic record and author-uploaded published full text, especially sections 3–4 on prediction and coordination. Figures are discussed conceptually and are not reproduced.
- Funding & competing interests
- No separate funding or competing-interest statement was identified in the consulted copy. This does not establish absence of support or conflicts.
Project support
Founded and supported by Resilio.
Revision history
- · v0.2
Expanded prediction, coordinated resource allocation and the distinction between a theoretical account and a validated personal model.