Theory and dynamics of perceptual Bistability

Paul R. Schrater, Rashmi Sundareswara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations

    Abstract

    Perceptual Bistability refers to the phenomenon of spontaneously switching between two or more interpretations of an image under continuous viewing. Although switching behavior is increasingly well characterized, the origins remain elusive. We propose that perceptual switching naturally arises from the brain's search for best interpretations while performing Bayesian inference. In particular, we propose that the brain explores a posterior distribution over image interpretations at a rapid time scale via a sampling-like process and updates its interpretation when a sampled interpretation is better than the discounted value of its current interpretation. We formalize the theory, explicitly derive switching rate distributions and discuss qualitative properties of the theory including the effect of changes in the posterior distribution on switching rates. Finally, predictions of the theory are shown to be consistent with measured changes in human switching dynamics to Necker cube stimuli induced by context.

    Original languageEnglish (US)
    Title of host publicationAdvances in Neural Information Processing Systems 19 - Proceedings of the 2006 Conference
    Pages1217-1224
    Number of pages8
    StatePublished - Dec 1 2007
    Event20th Annual Conference on Neural Information Processing Systems, NIPS 2006 - Vancouver, BC, Canada
    Duration: Dec 4 2006Dec 7 2006

    Publication series

    NameAdvances in Neural Information Processing Systems
    ISSN (Print)1049-5258

    Other

    Other20th Annual Conference on Neural Information Processing Systems, NIPS 2006
    CountryCanada
    CityVancouver, BC
    Period12/4/0612/7/06

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  • Cite this

    Schrater, P. R., & Sundareswara, R. (2007). Theory and dynamics of perceptual Bistability. In Advances in Neural Information Processing Systems 19 - Proceedings of the 2006 Conference (pp. 1217-1224). (Advances in Neural Information Processing Systems).