ArticleJournal of mathematical psychology2022
A step-by-step tutorial on active inference and its application to empirical data.
Article in Journal of mathematical psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.
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Who cites it
94 citing papers in PubMed.
- Impressions about harm are formed rapidly and then refined, modulated by serotonin.Social cognitive and affective neuroscience · 2024Trial
- Active inference with reusable state-dependent value profiles.Biological cybernetics · 2026Article
- Predictive Processing in Sport and Exercise Science: A Scoping Review and Theoretical Overview.Sports medicine - open · 2026Review
- Computational mechanisms of learning and forgetting differentiate affective and substance use disorders.Molecular psychiatry · 2026Article
- Writing Increases Precision-Weighted Inference of Conceptual Organization: A Bayesian-Brain Active-Inference Model of the Writing-over-Speaking Advantage in Analytic Thinking.Brain sciences · 2026Article
- Errors or Adaptations? A Critical Review of Predictive Processing in Psychiatry.Behavioral sciences (Basel, Switzerland) · 2026Review
- Limb apraxia and active inference in the visuomotor pathways.Psychonomic bulletin & review · 2026Review
- Active inference and speech motor control.Psychonomic bulletin & review · 2026Review
- Agentic Finance: An Adaptive Inference Framework for Bounded-Rational Investing Agents.Entropy (Basel, Switzerland) · 2026Article
- Hidden State Inference or Continuous Belief Updating during a Dynamic Visuomotor Skill.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Active Inference Modeling of Socially Shared Cognition in Virtual Reality.Sensors (Basel, Switzerland) · 2026Article
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- Motor and operative intentionality in computational phenomenology: from shallow to deep active inference models.Neuroscience of consciousness · 2026Article
- When Collaboration Falters, Insensitivity to How Our Actions Affect Others Drives Inflated Self-evaluations.Computational brain & behavior · 2026Article
- A Rosetta Stone hypothesis for neurophenomenology: mathematical predictions from predictive processing.Neuroscience of consciousness · 2026Article
- From self-organizing systems to subjective temporal extension.Neuroscience of consciousness · 2026Article
- The Geometric Signatures of Brain State Transitions: Recursive Informational Curvature Reveals Hidden Dynamics in Primate Cortex.Neuroscience insights · 2026Article
- Learning to attenuate myself: a predictive processing account of body-scan meditation and the dissolution of bodily boundaries.Neuroscience of consciousness · 2026Article
- Fleeing is believing: adaptive behavior under social threat as an inference process.Frontiers in neural circuits · 2026Article
- Towards an active inference account of deep meditative deconstruction.Neuroscience of consciousness · 2026Article
34 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
The active inference framework, and in particular its recent formulation as a partially observable Markov decision process (POMDP), has gained increasing popularity in recent years as a useful approach for modeling neurocognitive processes. This framework is highly general and flexible in its ability to be customized to model any cognitive process, as well as simulate predicted neuronal responses based on its accompanying neural process theory. It also affords both simulation experiments for proof of principle and behavioral modeling for empirical studies. However, there are limited resources that explain how to build and run these models in practice, which limits their widespread use. Most introductions assume a technical background in programming, mathematics, and machine learning. In this paper we offer a step-by-step tutorial on how to build POMDPs, run simulations using standard MATLAB routines, and fit these models to empirical data. We assume a minimal background in programming and mathematics, thoroughly explain all equations, and provide exemplar scripts that can be customized for both theoretical and empirical studies. Our goal is to provide the reader with the requisite background knowledge and practical tools to apply active inference to their own research. We also provide optional technical sections and multiple appendices, which offer the interested reader additional technical details. This tutorial should provide the reader with all the tools necessary to use these models and to follow emerging advances in active inference research.
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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.