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Related Experiment Videos

Representation of spatial structure in reaching to a visual target.

M Cook1, K Griffiths

  • 1Australian National University, Canberra, Australian Capital Territory.

Journal of Experimental Psychology. Human Perception and Performance
|November 1, 1991
PubMed
Summary

Reaching movements reveal how the brain perceives 3D shapes. Studies show reaching patterns adapt to surface geometry and target location, integrating local and global spatial information for accurate spatial representation.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Human Motor Control

Background:

  • Reaching movements without visual feedback are crucial for understanding spatial perception.
  • The brain's representation of object surfaces and target locations influences motor control.

Purpose of the Study:

  • To investigate how the brain represents and uses spatial information from object surfaces during reaching.
  • To determine the interplay between local surface features and global spatial layout in guiding movements.

Main Methods:

  • Participants performed reaching movements to targets on various surfaces without visual feedback.
  • Experiment 1: Reaching patterns analyzed based on surface spatial attributes.
  • Experiment 2: Reaching errors examined based on target position, independent of surface structure.

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  • Experiment 3: Illusory surface slant induced using aniseikonic lenses to assess perception-action coupling.

    • Main Results:

    • Reaching patterns varied with surface geometry, suggesting point-by-point surface perception.
    • Reaching errors were primarily determined by target location, indicating a stable spatial representation.
    • Individual judgments of illusory slant correlated with reaching patterns, demonstrating integration of perception and action.

    Conclusions:

    • Reaching movements reflect a coherent spatial structure integrating local surface details and global target information.
    • The brain maintains a robust representation of location while dynamically incorporating surface properties into motor planning.