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Related Experiment Videos

Manipulating the edge of instability.

Madhusudhan Venkadesan1, John Guckenheimer, Francisco J Valero-Cuevas

  • 1Neuromuscular Biomechanics Laboratory, Sibley School of Mechanical & Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA. mv72@cornell.edu

Journal of Biomechanics
|April 3, 2007
PubMed
Summary

Time-delays and sensorimotor noise critically impact multisensory integration for dynamic manipulation. Vision is crucial for dexterity only when tactile sensation is impaired, especially with age or disease.

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Area of Science:

  • Neuroscience
  • Robotics
  • Biomechanics

Background:

  • Dynamic manipulation relies on integrating visual and tactile sensory input.
  • Sensorimotor control is sensitive to time-delays and noise, particularly in unstable systems.
  • Bifurcation theory describes low-dimensional dynamics in systems at the edge of instability.

Purpose of the Study:

  • To investigate the role of visual and tactile sensory integration in dynamic manipulation.
  • To determine the impact of time-delays and sensorimotor noise on task performance.
  • To model the brain-hand-spring system dynamics.

Main Methods:

  • Experimental manipulation of visual and tactile feedback in human subjects.
  • Computational modeling of multisensory integration using principal components analysis.

Related Experiment Videos

  • Analysis of dynamic manipulation of a spring at the edge of instability.

    • Main Results:

    • Time-delays are as critical as sensorimotor noise for optimal multisensory integration.
    • Vision's contribution to dynamic manipulation is significant only when tactile sensation is absent.
    • A low-order model accurately reproduced experimental findings, highlighting the importance of time-delays.

    Conclusions:

    • Multisensory integration in dynamic manipulation is highly sensitive to time-delays and noise.
    • Loss of tactile sensation increases reliance on vision, a phenomenon exacerbated by aging or disease.
    • Understanding these mechanisms is key to addressing age-related dexterity decline.