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Neural correlates of implied motion

Author

Listed:
  • Bart Krekelberg

    (The Salk Institute)

  • Sabine Dannenberg

    (Ruhr University)

  • Klaus-Peter Hoffmann

    (Ruhr University)

  • Frank Bremmer

    (Ruhr University
    Philipps University Marburg)

  • John Ross

    (The University of Western Australia)

Abstract

Current views of the visual system assume that the primate brain analyses form and motion along largely independent pathways1; they provide no insight into why form is sometimes interpreted as motion. In a series of psychophysical and electrophysiological experiments in humans and macaques, here we show that some form information is processed in the prototypical motion areas of the superior temporal sulcus (STS). First, we show that STS cells respond to dynamic Glass patterns2, which contain no coherent motion but suggest a path of motion3. Second, we show that when motion signals conflict with form signals suggesting a different path of motion, both humans and monkeys perceive motion in a compromised direction. This compromise also has a correlate in the responses of STS cells, which alter their direction preferences in the presence of conflicting implied motion information. We conclude that cells in the prototypical motion areas in the dorsal visual cortex process form that implies motion. Estimating motion by combining motion cues with form cues may be a strategy to deal with the complexities of motion perception in our natural environment.

Suggested Citation

  • Bart Krekelberg & Sabine Dannenberg & Klaus-Peter Hoffmann & Frank Bremmer & John Ross, 2003. "Neural correlates of implied motion," Nature, Nature, vol. 424(6949), pages 674-677, August.
  • Handle: RePEc:nat:nature:v:424:y:2003:i:6949:d:10.1038_nature01852
    DOI: 10.1038/nature01852
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    Cited by:

    1. Sophie Hall & Patrick Bourke & Kun Guo, 2014. "Low Level Constraints on Dynamic Contour Path Integration," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-9, June.
    2. Benjamin Lahner & Kshitij Dwivedi & Polina Iamshchinina & Monika Graumann & Alex Lascelles & Gemma Roig & Alessandro Thomas Gifford & Bowen Pan & SouYoung Jin & N. Apurva Ratan Murty & Kendrick Kay & , 2024. "Modeling short visual events through the BOLD moments video fMRI dataset and metadata," Nature Communications, Nature, vol. 15(1), pages 1-26, December.

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