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Related Experiment Videos

A sensorimotor approach to sound localization.

Murat Aytekin1, Cynthia F Moss, Jonathan Z Simon

  • 1Department of Psychology, University of Maryland, College Park, MD 20742, U.S.A. aytekin@umd.edu

Neural Computation
|November 30, 2007
PubMed
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Organisms can learn sound localization by linking sensory feedback from their own movements to auditory cues. This sensorimotor model demonstrates how experience shapes auditory spatial understanding without prior knowledge.

Area of Science:

  • Neuroscience
  • Computational Biology
  • Auditory Perception

Background:

  • Sound localization is a complex process involving multisensory integration, neural plasticity, and motor control.
  • Existing models often assume prior knowledge of head-related transfer functions or auditory spatial information.

Purpose of the Study:

  • To develop a sensorimotor model explaining how organisms learn sound source localization without a priori neural representations.
  • To demonstrate that sensory consequences of voluntary motor actions enable learning of auditory spatial information.

Main Methods:

  • Development of a quantitative sensorimotor model.
  • Simulation of auditory spatial learning based on acoustic inputs and motor states.
  • Validation using examples from human and echolocating bat auditory systems.

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Main Results:

  • The model quantitatively shows that an organism can learn the spatial location of sound sources through self-generated actions and resulting sensory feedback.
  • This learning occurs without pre-existing knowledge of head-related transfer functions or auditory spatial maps.

Conclusions:

  • An organism's own motor activity and its sensory consequences are sufficient for learning auditory space.
  • This sensorimotor approach provides a framework for understanding naive auditory spatial acquisition in diverse species.