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Neural mechanisms of rapid natural scene categorization in human visual cortex

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  • Marius V. Peelen

    (Princeton University, Princeton, New Jersey 08540, USA
    Center for the Study of Brain, Mind, and Behavior, Princeton University, Princeton, New Jersey 08540, USA
    Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08540, USA)

  • Li Fei-Fei

    (Princeton University, Princeton, New Jersey 08540, USA
    Princeton University, Princeton, New Jersey 08540, USA)

  • Sabine Kastner

    (Princeton University, Princeton, New Jersey 08540, USA
    Center for the Study of Brain, Mind, and Behavior, Princeton University, Princeton, New Jersey 08540, USA
    Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey 08540, USA)

Abstract

Selective viewing People are remarkably adept at quickly detecting the presence of items of interest in their field of view. A functional magnetic resonance imaging study of healthy volunteers presented with a series of photographs, and asked to spot either people or cars in them, shows how this is achieved by the visual system. The brain rapidly determines whether there are objects relevant to whatever task it is attempting anywhere in the field of view even if they are not in regions that are under direct scrutiny. Intriguingly, the evidence shows that, contrary to our subjective experience of a complete internal representation of the external world, the neural representation of real-world scenes is limited to those objects that are directly relevant for ongoing behaviour.

Suggested Citation

  • Marius V. Peelen & Li Fei-Fei & Sabine Kastner, 2009. "Neural mechanisms of rapid natural scene categorization in human visual cortex," Nature, Nature, vol. 460(7251), pages 94-97, July.
    • Handle: RePEc:nat:nature:v:460:y:2009:i:7251:d:10.1038_nature08103
    DOI: 10.1038/nature08103
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    Cited by:

    1. Iris I A Groen & Sennay Ghebreab & Victor A F Lamme & H Steven Scholte, 2012. "Spatially Pooled Contrast Responses Predict Neural and Perceptual Similarity of Naturalistic Image Categories," PLOS Computational Biology, Public Library of Science, vol. 8(10), pages 1-16, October.
    2. Xiaofu He & Zhiyong Yang & Joe Z Tsien, 2011. "A Hierarchical Probabilistic Model for Rapid Object Categorization in Natural Scenes," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-15, May.

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