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Computational Models of Interoception and Body Regulation

Petzschner, FH; Garfinkel, SN; Paulus, MP; Koch, C; Khalsa, SS; (2021) Computational Models of Interoception and Body Regulation. Trends in Neurosciences , 44 (1) pp. 63-76. 10.1016/j.tins.2020.09.012. Green open access

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Abstract

To survive, organisms must effectively respond to the challenge of maintaining their physiological integrity in the face of an ever-changing environment. Preserving this homeostasis critically relies on adaptive behavior. In this review, we consider recent frameworks that extend classical homeostatic control via reflex arcs to include more flexible forms of adaptive behavior that take interoceptive context, experiences, and expectations into account. Specifically, we define a landscape for computational models of interoception, body regulation, and forecasting, address these models' unique challenges in relation to translational research efforts, and discuss what they can teach us about cognition as well as physical and mental health.

Type: Article
Title: Computational Models of Interoception and Body Regulation
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.tins.2020.09.012
Publisher version: https://doi.org/10.1016/j.tins.2020.09.012
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: active inference, allostasis, computational psychiatry, homeostasis, predictive coding, reinforcement learning, Cognition, Computer Simulation, Forecasting, Humans, Interoception
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Institute of Cognitive Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10142573
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