ArticleJournal of vision2022
Experimentally disambiguating models of sensory cue integration.
Article in Journal of vision, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- On manipulating motion gain in immersive virtual environments: An unidentified source of external noise and a new psychometric function.Journal of vision · 2026Article
- Learning new perceptual skills: Individual differences in the computations that integrate novel sensory cues into depth perception.iScience · 2026Article
- Multisensory suppressive neurons can implement Bayesian-like nonlinearly weighted sensory combination.Frontiers in human neuroscience · 2026Article
- Both optical and rheological properties contribute to viscosity judgements when comparing real liquids using vision and touch.Royal Society open science · 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
- Correctly establishing evidence for cue combination via gains in sensory precision: Why the choice of comparator matters.Behavior research methods · 2024Article
- Different types of uncertainty in multisensory perceptual decision making.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- A model of cue integration as vector summation in the insect brain.Proceedings. Biological sciences · 2023Article
- New Approaches to 3D Vision.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Central tendency biases must be accounted for to consistently capture Bayesian cue combination in continuous response data.Behavior research methods · 2022Article
- Combining cues to judge distance and direction in an immersive virtual reality environment.Journal of vision · 2021Article
Corrections and comments
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Authors and funding
1 author.
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Abstract
Sensory cue integration is one of the primary areas in which a normative mathematical framework has been used to define the "optimal" way in which to make decisions based upon ambiguous sensory information and compare these predictions to behavior. The conclusion from such studies is that sensory cues are integrated in a statistically optimal fashion. However, numerous alternative computational frameworks exist by which sensory cues could be integrated, many of which could be described as "optimal" based on different criteria. Existing studies rarely assess the evidence relative to different candidate models, resulting in an inability to conclude that sensory cues are integrated according to the experimenter's preferred framework. The aims of the present paper are to summarize and highlight the implicit assumptions rarely acknowledged in testing models of sensory cue integration, as well as to introduce an unbiased and principled method by which to determine, for a given experimental design, the probability with which a population of observers behaving in accordance with one model of sensory integration can be distinguished from the predictions of a set of alternative models.
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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.