ArticleFrontiers in computational neuroscience2023
Flexible intentions: An Active Inference theory.
Article in Frontiers in computational neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Visual awareness of stimulus features shapes motor control through action end-state comfort.Scientific reports · 2026Article
- Deep Hybrid Models: Infer and Plan in a Dynamic World.Entropy (Basel, Switzerland) · 2025Article
- Flow and intuition: a systems neuroscience comparison.Neuroscience of consciousness · 2025Article
- Modeling the arousal potential of epistemic emotions using Bayesian information gain: a framework for inquiry cycles driven by free energy fluctuations.Frontiers in psychology · 2025Article
- Formalizing Lacanian psychoanalysis through the free energy principle.Frontiers in psychology · 2025Article
- Article
- The Complex Relationship between Sleep and Cognitive Reserve: A Narrative Review Based on Human Studies.Brain sciences · 2024Review
- Deep kinematic inference affords efficient and scalable control of bodily movements.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Active Vision in Binocular Depth Estimation: A Top-Down Perspective.Biomimetics (Basel, Switzerland) · 2023Article
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2 authors.
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Abstract
We present a normative computational theory of how the brain may support visually-guided goal-directed actions in dynamically changing environments. It extends the Active Inference theory of cortical processing according to which the brain maintains beliefs over the environmental state, and motor control signals try to fulfill the corresponding sensory predictions. We propose that the neural circuitry in the Posterior Parietal Cortex (PPC) compute flexible intentions-or motor plans from a belief over targets-to dynamically generate goal-directed actions, and we develop a computational formalization of this process. A proof-of-concept agent embodying visual and proprioceptive sensors and an actuated upper limb was tested on target-reaching tasks. The agent behaved correctly under various conditions, including static and dynamic targets, different sensory feedbacks, sensory precisions, intention gains, and movement policies; limit conditions were individuated, too. Active Inference driven by dynamic and flexible intentions can thus support goal-directed behavior in constantly changing environments, and the PPC might putatively host its core intention mechanism. More broadly, the study provides a normative computational basis for research on goal-directed behavior in end-to-end settings and further advances mechanistic theories of active biological systems.
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