ArticleComputational psychiatry (Cambridge, Mass.)2018
Active Inference and Auditory Hallucinations.
Article in Computational psychiatry (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- A Dual Prediction Error Populations Model of Schizophrenia Spectrum Disorders: Bridging NMDA Hypofunction and Gain Hyperfunction.Schizophrenia bulletin · 2026Article
- Predictive Inference Alterations in Psychosis Proneness Show Task-Dependent Signatures.Annals of the New York Academy of Sciences · 2026Article
- Hallucination Proneness is Linked to Over-Reliance on Internal Priors for Noisy Speech.Schizophrenia bulletin · 2026Article
- The phantastic organ: predictive processing in the brain.Frontiers in psychology · 2026Review
- A transdiagnostic conflict-square algorithm: a four-node computational framework for psychotherapy and functional diagnosis.Frontiers in psychiatry · 2026Article
- Emergence and Dynamics of Delusions and Hallucinations Across Stages in Early Psychosis.Biological psychiatry · 2025Article
- The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025Review
- Deep computational neurophenomenology: a methodological framework for investigating the how of experience.Neuroscience of consciousness · 2025Article
- Generative models for sequential dynamics in active inference.Cognitive neurodynamics · 2024Review
- Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample.Schizophrenia bulletin · 2024Article
- Hallucination-Proneness is Associated With a Decrease in Robust Averaging of Perceptual Evidence.Schizophrenia bulletin · 2024Article
- Predictive coding and stochastic resonance as fundamental principles of auditory phantom perception.Brain : a journal of neurology · 2023Review
- Barriers and solutions to the adoption of translational tools for computational psychiatry.Molecular psychiatry · 2023Review
- Hierarchical inference as a source of human biases.Cognitive, affective & behavioral neuroscience · 2023Article
- Cross-Modality Evidence for Reduced Choice History Biases in Psychosis-Prone Individuals.Schizophrenia bulletin · 2023Article
- Modelling mood updating: a proof of principle study.The British journal of psychiatry : the journal of mental science · 2023Article
- A parahippocampal-sensory Bayesian vicious circle generates pain or tinnitus: a source-localized EEG study.Brain communications · 2023Article
- Variables influencing conditioning-evoked hallucinations: overview and future applications.Psychological medicine · 2022Review
- Everything is connected: Inference and attractors in delusions.Schizophrenia research · 2022Article
- GABANeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Article
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5 authors.
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Abstract
Auditory verbal hallucinations (AVH) are often distressing symptoms of several neuropsychiatric conditions, including schizophrenia. Using a Markov decision process formulation of active inference, we develop a novel model of AVH as false (positive) inference. Active inference treats perception as a process of hypothesis testing, in which sensory data are used to disambiguate between alternative hypotheses about the world. Crucially, this depends upon a delicate balance between prior beliefs about unobserved (hidden) variables and the sensations they cause. A false inference that a voice is present, even in the absence of auditory sensations, suggests that prior beliefs dominate perceptual inference. Here we consider the computational mechanisms that could cause this imbalance in perception. Through simulation, we show that the content of (and confidence in) prior beliefs depends on beliefs about policies (here sequences of listening and talking) and on beliefs about the reliability of sensory data. We demonstrate several ways in which hallucinatory percepts could occur when an agent expects to hear a voice in the presence of imprecise sensory data. This model expresses, in formal terms, alternative computational mechanisms that underwrite AVH and, speculatively, can be mapped onto neurobiological changes associated with schizophrenia. The interaction of action and perception is important in modeling AVH, given that speech is a fundamentally enactive and interactive process-and that hallucinators often actively engage with their voices.
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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.