ArticleCortex; a journal devoted to the study of the nervous system and behavior2019
Integration of audiovisual spatial signals is not consistent with maximum likelihood estimation.
Article in Cortex; a journal devoted to the study of the nervous system and behavior, 2019. 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.
- Late Cross-Modal Biases in Neural Spatial Representations Revealed by EEG Decoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Distilling noise characteristics and prior expectations in multisensory causal inference.PLoS computational biology · 2026Article
- Multisensory suppressive neurons can implement Bayesian-like nonlinearly weighted sensory combination.Frontiers in human neuroscience · 2026Article
- Prior expectations guide multisensory integration during face-to-face communication.PLoS computational biology · 2025Article
- Humans use underestimates of auditory spatial and temporal uncertainty for perceptual inference.Proceedings. Biological sciences · 2025Article
- Bayesian prior uncertainty and surprisal elicit distinct neural patterns during sound localization in dynamic environments.Scientific reports · 2025Article
- Integration of audiovisual speech perception: From infancy to older adults.The Journal of the Acoustical Society of America · 2025Article
- Gustatory cortex neurons perform reliability-dependent integration of multisensory flavor inputs.Current biology : CB · 2025Article
- Optimality of multisensory integration while compensating for uncertain visual target information with artificial vibrotactile cues during reach planning.Journal of neuroengineering and rehabilitation · 2024Article
- Quantifying accuracy and precision from continuous response data in studies of spatial perception and crossmodal recalibration.Behavior research methods · 2024Article
- Correctly establishing evidence for cue combination via gains in sensory precision: Why the choice of comparator matters.Behavior research methods · 2024Article
- Older adults preserve audiovisual integration through enhanced cortical activations, not by recruiting new regions.PLoS biology · 2024Article
- Multisensory Integration and Causal Inference in Typical and Atypical Populations.Advances in experimental medicine and biology · 2024Review
- Multisensory causal inference is feature-specific, not object-based.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Multisensory integration in the mammalian brain: diversity and flexibility in health and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Metacognition in the audiovisual McGurk illusion: perceptual and causal confidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Cortical Mechanisms of Multisensory Linear Self-motion Perception.Neuroscience bulletin · 2023Review
- Visuo-tactile heading perception.Journal of neurophysiology · 2022Article
- Audiovisual adaptation is expressed in spatial and decisional codes.Nature communications · 2022Article
- The role of alpha oscillations in temporal binding within and across the senses.Nature human behaviour · 2022Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Multisensory perception is regarded as one of the most prominent examples where human behaviour conforms to the computational principles of maximum likelihood estimation (MLE). In particular, observers are thought to integrate auditory and visual spatial cues weighted in proportion to their relative sensory reliabilities into the most reliable and unbiased percept consistent with MLE. Yet, evidence to date has been inconsistent. The current pre-registered, large-scale (N = 36) replication study investigated the extent to which human behaviour for audiovisual localization is in line with maximum likelihood estimation. The acquired psychophysics data show that while observers were able to reduce their multisensory variance relative to the unisensory variances in accordance with MLE, they weighed the visual signals significantly stronger than predicted by MLE. Simulations show that this dissociation can be explained by a greater sensitivity of standard estimation procedures to detect deviations from MLE predictions for sensory weights than for audiovisual variances. Our results therefore suggest that observers did not integrate audiovisual spatial signals weighted exactly in proportion to their relative reliabilities for localization. These small deviations from the predictions of maximum likelihood estimation may be explained by observers' uncertainty about the world's causal structure as accounted for by Bayesian causal inference.
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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.