YEARS

2014-2017

AUTHORS

Kalpana Dokka

TITLE

Modeling causal inference in vestibular-visual heading perception

ABSTRACT

DESCRIPTION (provided by applicant): Heading direction is indicated by vestibular signals and patterns of image motion across the retina (optic flow). Heading precision improves when vestibular cues and optic flow are integrated. Such multisensory integration will be beneficial only if the two cues are produced by the same cause, that is, movement of the observer in a world-fixed environment. However, optic flow possesses an inherent ambiguity which poses a crucial challenge to heading perception: optic flow indicates the combined movement of the observer as well as movement of objects in the world. Using quantitative human psychophysics and mathematical modeling, here I test the hypothesis that the brain implements a decision process that infers the causes associated with vestibular and optic flow cues. According to this decision process, termed causal inference, the two cues are integrated if it is inferred that a common cause produced them. Causal inference thus predicts that the multisensory heading percept will depend on the magnitude of the conflict between visual and optic flow heading information as well as the reliability of these cues. In addition, I will investigate the influenceof moving objects on heading perception within the causal inference framework, which predicts that the influence of moving objects on heading perception will decrease as the velocity of object motion in the world increases. A 6 degrees-of- freedom motion platform with attached large field-of-view stereo projection system and two-alternative-forced- choice methodology will be used for all experiments. I will develop mathematical models of the causal inference process and will rigorously compare the predictions of these models with the experimental data using Bayesian model comparison techniques. Findings of this research are important for understanding basic perceptual vestibular-visual interactions and opening new directions in the fields of basic and clinical spatial orientation psychophysics.

FUNDED PUBLICATIONS

  • Multisensory Integration of Visual and Vestibular Signals Improves Heading Discrimination in the Presence of a Moving Object.
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    20 TRIPLES      17 PREDICATES      21 URIs      9 LITERALS

    Subject Predicate Object
    1 grants:ed78425795b381a12b8f7c3798bb10a3 sg:abstract DESCRIPTION (provided by applicant): Heading direction is indicated by vestibular signals and patterns of image motion across the retina (optic flow). Heading precision improves when vestibular cues and optic flow are integrated. Such multisensory integration will be beneficial only if the two cues are produced by the same cause, that is, movement of the observer in a world-fixed environment. However, optic flow possesses an inherent ambiguity which poses a crucial challenge to heading perception: optic flow indicates the combined movement of the observer as well as movement of objects in the world. Using quantitative human psychophysics and mathematical modeling, here I test the hypothesis that the brain implements a decision process that infers the causes associated with vestibular and optic flow cues. According to this decision process, termed causal inference, the two cues are integrated if it is inferred that a common cause produced them. Causal inference thus predicts that the multisensory heading percept will depend on the magnitude of the conflict between visual and optic flow heading information as well as the reliability of these cues. In addition, I will investigate the influenceof moving objects on heading perception within the causal inference framework, which predicts that the influence of moving objects on heading perception will decrease as the velocity of object motion in the world increases. A 6 degrees-of- freedom motion platform with attached large field-of-view stereo projection system and two-alternative-forced- choice methodology will be used for all experiments. I will develop mathematical models of the causal inference process and will rigorously compare the predictions of these models with the experimental data using Bayesian model comparison techniques. Findings of this research are important for understanding basic perceptual vestibular-visual interactions and opening new directions in the fields of basic and clinical spatial orientation psychophysics.
    2 sg:endYear 2017
    3 sg:fundingAmount 469500.0
    4 sg:fundingCurrency USD
    5 sg:hasContribution contributions:90817b06c91cf936f6a31f68e7a0ada2
    6 sg:hasFieldOfResearchCode anzsrc-for:11
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    8 anzsrc-for:17
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    10 sg:hasFundedPublication articles:eb6d2304ba4f1c5f2da795ac49c9a1c7
    11 sg:hasFundingOrganization grid-institutes:grid.214431.1
    12 sg:hasRecipientOrganization grid-institutes:grid.39382.33
    13 sg:language English
    14 sg:license http://scigraph.springernature.com/explorer/license/
    15 sg:scigraphId ed78425795b381a12b8f7c3798bb10a3
    16 sg:startYear 2014
    17 sg:title Modeling causal inference in vestibular-visual heading perception
    18 sg:webpage http://projectreporter.nih.gov/project_info_description.cfm?aid=9060916
    19 rdf:type sg:Grant
    20 rdfs:label Grant: Modeling causal inference in vestibular-visual heading perception
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