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Interoception as modeling, allostasis as control
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Abstract
The brain regulates the body by anticipating its needs and attempting to meet them before they arise – a process called allostasis. Allostasis requires a model of the changing sensory conditions within the body, a process called interoception. In this paper, we examine how interoception may provide performance feedback for allostasis. We suggest studying allostasis in terms of control theory, reviewing control theory’s applications to related issues in physiology, motor control, and decision making. We synthesize these by relating them to the important properties of allostatic regulation as a control problem. We then sketch a novel formalism for how the brain might perform allostatic control of the viscera by analogy to skeletomotor control, including a mathematical view on how interoception acts as performance feedback for allostasis. Finally, we suggest ways to test implications of our hypotheses.
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“short-term symptoms are not usually associated with strong priors from implicit expectations”
From Persistent physical symptoms: definition, genesis, and management (2024) · cites this paper as [86]
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“Functional and structural alterations of the insula (found in several FND neuroimaging studies) might lead to imprecise predictive interoceptive signal modelling and error detection, contributing to inefficiencies in performing allostasis.95,104,112,135”
From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [112]
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“Therefore, the interoceptive model works in the service of allostasis.95,112”
From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [112]
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“To perform allostasis efficiently, the system needs to anticipate, sense and integrate signals originating from within the body made available by interoception: the brain's moment-to-moment modelling of the internal physiological state of the body.95,112,[116][117][118]”
From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [112]
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López-Martín, G., Caparco, A., van Steenoven, C., Leganes‐Fonteneau, M., & Galvez-Pol, A. (2025) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/czdkm_v2 · Cited by 2
Theriault, J. E. (2022) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/42juc
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Wilkinson, N. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/euxp4
Feedback models of a "sense of should"
Passas, R. (2022) · Digital Repository Service (Northeastern University) · doi:10.17760/d20476832
Towards compositional probabilistic programming
Sennesh, E. (2023) · Digital Repository Service (Northeastern University) · doi:10.17760/d20618640
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Suksasilp, C., Friston, K. J., & Garfinkel, S. N. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00076-0
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Eberle, F., Laha, R., Yao, H., Naceri, A., Figueredo, L., & Haddadin, S. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10611140
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Kleckner, I. R., & Chung, J. J. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2024.108953
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Alicea, B. (2024) · Studies in computational intelligence · doi:10.1007/978-3-031-76516-2_2
WITHDRAWNPreprint
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Metadata
- Authors
- Sennesh, E., Theriault, J., Brooks, D., van de Meent, J.-W., Barrett, L. F., & Quigley, K. S.
- Affiliations
- Northeastern University (US)
- Corresponding author
- Sennesh, Eli
- Venue
- Biological Psychology
- Publisher
- Elsevier BV
- Published
- 2022-01
- Volume
- 167
- Pages
- 108242
- ISSN
- 0301-0511
- PMC
- PMC9270659
- OpenAlex
- W4200245063
- Semantic Scholar
- cd95cee7cfaf5949d143cbfd28deb54848869602
- Cited by
- 107
- References
- 206
- Citations by year
- 2026: 14 · 2025: 30 · 2024: 26 · 2023: 22 · 2022: 15
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (am, 356 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Biological Psychology (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Funders
- National Science Foundation (1835309)
- National Institutes of Health
- National Institute of Mental Health (R01MH113234)
- National Cancer Institute (U01CA193632)
- Army Research Institute for the Behavioral and Social Sciences (W911NF-16–1-0191)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Embodied and Extended Cognition
- Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- interoception, allostasis, control theory, performance feedback, physiological control, motor control, decision-making, brain modeling
- MeSH terms
- Brain, Humans, Allostasis, Interoception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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