BIROn - Birkbeck Institutional Research Online

    Whatever after next? adaptive predictions based on short- and long-term memory in visual search

    Conci, M. and Zellin, M. and Muller, Hermann J. (2012) Whatever after next? adaptive predictions based on short- and long-term memory in visual search. Frontiers in Psychology 3 , p. 409. ISSN 1664-1078.

    [img]
    Preview
    Text
    fpsyg-03-00409.pdf - Published Version of Record

    Download (274kB) | Preview

    Abstract

    Generating predictions for task-relevant goals is a fundamental requirement of human information processing, as it ensures adaptive success in our complex natural environment. Clark (in press) proposed a model of hierarchical predictive processing, in which perception, attention, and learning are unified within a coherent framework. In this view, incoming sensory signals are constantly matched with top-down expectations or predictions, with the aim of minimizing the prediction error to generate adaptive behavior. For example, in a natural environment such as a kitchen, search for a given target object (e.g., a pan) might be guided by a variety of predictive cues generated by previously acquired knowledge, such as the target’s typical appearance (e.g., its color, size, and shape as defined by a top-down implemented search template). In addition, predictions can also be derived from contextual factors, such as the most probable location of the target (e.g., on the stove), and its typical co-occurrence with other objects (e.g., pan and kettle; see Oliva and Torralba, 2007; Wolfe et al., 2011, for reviews).

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 27 Oct 2015 14:34
    Last Modified: 28 Jul 2019 13:35
    URI: http://eprints.bbk.ac.uk/id/eprint/13203

    Statistics

    Downloads
    Activity Overview
    170Downloads
    100Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item