BIROn - Birkbeck Institutional Research Online

    The perceptual prediction paradox

    Press, Clare and Kok, P. and Yon, Daniel (2019) The perceptual prediction paradox. Trends in Cognitive Sciences 24 (1), pp. 13-24. ISSN 1364-6613.

    [img] Text
    29855.pdf - Author's Accepted Manuscript
    Restricted to Repository staff only until 29 November 2020.
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (552kB) | Request a copy

    Abstract

    From the noisy information bombarding our senses our brains must construct percepts that are veridical – reflecting the true state of the world – and informative – conveying what we did not already know. Influential theories suggest that both challenges are met through mechanisms that use expectations about the likely state of the world to shape perception. However, current models explaining how expectations render perception either veridical or informative are mutually incompatible. While the former propose that perceptual experiences are dominated by events we expect, the latter propose that perception of expected events is suppressed. To solve this paradox we propose a two-process model in which probabilistic knowledge initially biases perception towards what is likely, and subsequently upweights events that elicit high surprise.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centre: Neuroimaging, Birkbeck-UCL Centre for (BUCNI)
    Depositing User: Clare Press
    Date Deposited: 13 Nov 2019 12:01
    Last Modified: 13 Jan 2020 14:26
    URI: http://eprints.bbk.ac.uk/id/eprint/29855

    Statistics

    Downloads
    Activity Overview
    2Downloads
    36Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item