ArticlePsychopharmacology2019
Modeling subjective belief states in computational psychiatry: interoceptive inference as a candidate framework.
Article in Psychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Body as First Teacher: The Role of Rhythmic Visceral Dynamics in Early Cognitive Development.Perspectives on psychological science : a journal of the Association for Psychological Science · 2025Article
- Evaluating the predictions of an interoceptive inference model of bulimia nervosa.Journal of eating disorders · 2024Article
- The utility of a latent-cause framework for understanding addiction phenomena.Addiction neuroscience · 2024Article
- Nicotine-related beliefs induce dose-dependent responses in the human brain.Nature. Mental health · 2024Article
- Longing to act: Bayesian inference as a framework for craving in behavioral addiction.Addictive behaviors · 2023Review
- The neuroanatomy of social trust predicts depression vulnerability.Scientific reports · 2022Article
- Constructing Craving: Applying the Theory of Constructed Emotion to Urge States.Current directions in psychological science · 2022Article
- Computational Psychiatry Needs Time and Context.Annual review of psychology · 2022Review
- Be still my heart: Cardiac regulation as a mode of uncertainty reduction.Psychonomic bulletin & review · 2021Article
- Bodily Information and Top-Down Affective Priming Jointly Affect the Processing of Fearful Faces.Frontiers in psychology · 2021Article
- Vagus Nerve Stimulation as a Gateway to Interoception.Frontiers in psychology · 2020Article
- Editorial: bridging the gap with computational and translational psychopharmacology.Psychopharmacology · 2019Article
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Authors and funding
3 authors.
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Abstract
The nascent field computational psychiatry has undergone exponential growth since its inception. To date, much of the published work has focused on choice behaviors, which are primarily modeled within a reinforcement learning framework. While this initial normative effort represents a milestone in psychiatry research, the reality is that many psychiatric disorders are defined by disturbances in subjective states (e.g., depression, anxiety) and associated beliefs (e.g., dysmorphophobia, paranoid ideation), which are not considered in normative models. In this paper, we present interoceptive inference as a candidate framework for modeling subjective-and associated belief-states in computational psychiatry. We first introduce the notion and significance of modeling subjective states in computational psychiatry. Next, we present the interoceptive inference framework, and in particular focus on the relationship between interoceptive inference (i.e., belief updating) and emotions. Lastly, we will use drug craving as an example of subjective states to demonstrate the feasibility of using interoceptive inference to model the psychopathology of subjective states.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.