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Related Experiment Videos

Mapping information flow in sensorimotor networks.

Max Lungarella1, Olaf Sporns

  • 1Department of Mechano-Informatics, The University of Tokyo, Tokyo, Japan. maxl@isi.imi.i.u-tokyo.ac.jp

Plos Computational Biology
|October 31, 2006
PubMed
Summary
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Embodied interactions, not just internal processing, shape neural information flow. Sensorimotor activity and body form create information structures influencing perception and behavior.

Area of Science:

  • Neuroscience
  • Robotics
  • Information Theory

Background:

  • Neural processing is traditionally viewed as an internal function.
  • Biological organisms actively select and process information for perception, action, and cognition.

Purpose of the Study:

  • To investigate how sensorimotor interactions and body morphology influence information processing in neural systems.
  • To demonstrate that physical embodiment shapes internal information structures and flow.

Main Methods:

  • Analysis of sensory and motor data from real and simulated robots.
  • Examination of information structure and directed information flow in sensorimotor networks.

Main Results:

  • Sensorimotor interaction and body morphology induce statistical regularities and information structure.

Related Experiment Videos

  • Information flow between sensors, neural units, and effectors is actively shaped by environmental interaction.
  • Information structure and flow are spatially/temporally specific, influenced by learning and morphology.

    • Conclusions:

    • Physical embeddedness is fundamentally linked to information processing.
    • Embodied interactions significantly affect internal neural information processing and behavior generation.