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Causal Inference in Multisensory Heading Estimation

Author

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  • Ksander N de Winkel
  • Mikhail Katliar
  • Heinrich H Bülthoff

Abstract

A large body of research shows that the Central Nervous System (CNS) integrates multisensory information. However, this strategy should only apply to multisensory signals that have a common cause; independent signals should be segregated. Causal Inference (CI) models account for this notion. Surprisingly, previous findings suggested that visual and inertial cues on heading of self-motion are integrated regardless of discrepancy. We hypothesized that CI does occur, but that characteristics of the motion profiles affect multisensory processing. Participants estimated heading of visual-inertial motion stimuli with several different motion profiles and a range of intersensory discrepancies. The results support the hypothesis that judgments of signal causality are included in the heading estimation process. Moreover, the data suggest a decreasing tolerance for discrepancies and an increasing reliance on visual cues for longer duration motions.

Suggested Citation

  • Ksander N de Winkel & Mikhail Katliar & Heinrich H Bülthoff, 2017. "Causal Inference in Multisensory Heading Estimation," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-20, January.
    • Handle: RePEc:plo:pone00:0169676
    DOI: 10.1371/journal.pone.0169676
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    References listed on IDEAS

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    1. Konrad P Körding & Ulrik Beierholm & Wei Ji Ma & Steven Quartz & Joshua B Tenenbaum & Ladan Shams, 2007. "Causal Inference in Multisensory Perception," PLOS ONE, Public Library of Science, vol. 2(9), pages 1-10, September.
    2. Marc O. Ernst & Martin S. Banks, 2002. "Humans integrate visual and haptic information in a statistically optimal fashion," Nature, Nature, vol. 415(6870), pages 429-433, January.
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    Cited by:

    1. Luigi Acerbi & Kalpana Dokka & Dora E Angelaki & Wei Ji Ma, 2018. "Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception," PLOS Computational Biology, Public Library of Science, vol. 14(7), pages 1-38, July.

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