ArticlePLoS biology2019
To integrate or not to integrate: Temporal dynamics of hierarchical Bayesian causal inference.
Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed.
- Article
- Did you see the sound? A Bayesian assessment on cross-modal perception in low vision.Journal of vision · 2026Article
- Frontal cortex organization supporting audiovisual processing during naturalistic viewing.Nature communications · 2026Article
- Coupling Causal Inference and Cross-Modal Recalibration: A Unified Framework for Adaptive Multisensory Perception.Biology · 2026Review
- Causal inference shapes crossmodal postdiction in multisensory integration.Scientific reports · 2026Article
- A deep neural network model of audiovisual speech recognition reports the McGurk effect.Psychonomic bulletin & review · 2026Article
- Cortical vestibular-visual interactions and cross-modal plasticity-adaptive neural processes for stable perception.Frontiers in neural circuits · 2026Review
- Decoding self-motion: insights into visual-vestibular causal inference.Frontiers in human neuroscience · 2026Review
- A Deep Neural Network Model of Audiovisual Speech Recognition Reports the McGurk Effect.bioRxiv : the preprint server for biology · 2025Article
- Bayesian Causal Inference Accounts for Multisensory Filling-In at the Blind Spot.bioRxiv : the preprint server for biology · 2025Article
- Article
- The illusion of internal models in biological movement.European journal of applied physiology · 2025Review
- Variations in unisensory speech perception explain interindividual differences in McGurk illusion susceptibility.Psychonomic bulletin & review · 2025Article
- Environmental motion presented ahead of self-motion modulates heading direction estimation.PLoS computational biology · 2025Article
- Prior expectations guide multisensory integration during face-to-face communication.PLoS computational biology · 2025Article
- Unraveling Audiovisual Perception Across Space and Time: A Neuroinspired Computational Architecture.The European journal of neuroscience · 2025Article
- Integration of audiovisual speech perception: From infancy to older adults.The Journal of the Acoustical Society of America · 2025Article
- Frontoparietal network topology as a neural marker of musical perceptual abilities.Nature communications · 2024Article
- Multisensory perceptual and causal inference is largely preserved in medicated post-acute individuals with schizophrenia.PLoS biology · 2024Article
- Audiovisual Speech Perception Benefits are Stable from Preschool through Adolescence.Multisensory research · 2024Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
To form a percept of the environment, the brain needs to solve the binding problem-inferring whether signals come from a common cause and are integrated or come from independent causes and are segregated. Behaviourally, humans solve this problem near-optimally as predicted by Bayesian causal inference; but the neural mechanisms remain unclear. Combining Bayesian modelling, electroencephalography (EEG), and multivariate decoding in an audiovisual spatial localisation task, we show that the brain accomplishes Bayesian causal inference by dynamically encoding multiple spatial estimates. Initially, auditory and visual signal locations are estimated independently; next, an estimate is formed that combines information from vision and audition. Yet, it is only from 200 ms onwards that the brain integrates audiovisual signals weighted by their bottom-up sensory reliabilities and top-down task relevance into spatial priority maps that guide behavioural responses. As predicted by Bayesian causal inference, these spatial priority maps take into account the brain's uncertainty about the world's causal structure and flexibly arbitrate between sensory integration and segregation. The dynamic evolution of perceptual estimates thus reflects the hierarchical nature of Bayesian causal inference, a statistical computation, which is crucial for effective interactions with the environment.
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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.