ArticleFrontiers in neurorobotics2021
Generative Models for Active Vision.
Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- "Look Versus See": Does Varying Fellow Eye Contrast Affect Perception of the Amblyopic Eye?Investigative ophthalmology & visual science · 2026Article
- Predicting visual object memory through natural eye movement topography.Scientific reports · 2025Article
- FOCUS: object-centric world models for robotic manipulation.Frontiers in neurorobotics · 2025Article
- The role of prediction and visual tracking strategies during manual interception: An exploration of individual differences.Journal of vision · 2024Article
- The Relationship Between Environmental Statistics and Predictive Gaze Behaviour During a Manual Interception Task: Eye Movements as Active Inference.Computational brain & behavior · 2024Article
- How 'visual' is the visual cortex? The interactions between the visual cortex and other sensory, motivational and motor systems as enabling factors for visual perception.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Testing predictive coding theories of autism spectrum disorder using models of active inference.PLoS computational biology · 2023Article
- Symmetry and complexity in object-centric deep active inference models.Interface focus · 2023Article
- A Bayesian computational model to investigate expert anticipation of a seemingly unpredictable ball bounce.Psychological research · 2023Article
- Viewpoint planning with transition management for active object recognition.Frontiers in neurorobotics · 2023Article
- Task-evoked pupillary responses track precision-weighted prediction errors and learning rate during interceptive visuomotor actions.Scientific reports · 2022Article
- Embodied Object Representation Learning and Recognition.Frontiers in neurorobotics · 2022Article
- An investigation of feed-forward and feedback eye movement training in immersive virtual reality.Journal of eye movement research · 2022Article
- Reclaiming saliency: Rhythmic precision-modulated action and perception.Frontiers in neurorobotics · 2022Article
- Validation of a Pediatric Cognitive Assessment Tool to Advance Knowledge on Children's Cognitive Development, Health Risk Factors, and Health-promoting Interventions in Sub-Saharan Regions.Innovations in clinical neuroscienceArticle
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Authors and funding
5 authors.
Funding
Abstract
The active visual system comprises the visual cortices, cerebral attention networks, and oculomotor system. While fascinating in its own right, it is also an important model for sensorimotor networks in general. A prominent approach to studying this system is active inference-which assumes the brain makes use of an internal (generative) model to predict proprioceptive and visual input. This approach treats action as ensuring sensations conform to predictions (i.e., by moving the eyes) and posits that visual percepts are the consequence of updating predictions to conform to sensations. Under active inference, the challenge is to identify the form of the generative model that makes these predictions-and thus directs behavior. In this paper, we provide an overview of the generative models that the brain must employ to engage in active vision. This means specifying the processes that explain retinal cell activity and proprioceptive information from oculomotor muscle fibers. In addition to the mechanics of the eyes and retina, these processes include our choices about where to move our eyes. These decisions rest upon beliefs about salient locations, or the potential for information gain and belief-updating. A key theme of this paper is the relationship between "looking" and "seeing" under the brain's implicit generative model of the visual world.
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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.