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Self Organization in Auditory Neural Models

  • B. H. Bonham
  • F. H. Eeckman
  • E. R. Lewis

Abstract

On its sensory side, the nervous system has many modalities (vision, audition, olfaction, etc.), and in each case the central computing machinery appears to be organized as a series of layered structures. If the computing machinery in each case uses the same self-organization algorithm and we can discover that algorithm, then we will have a powerful tool for design of artificial sensory systems. For example, the algorithm could be used in robotics to yield a specialized architecture for each sensory modality in a robot, even for sensory modalities not present in animals.

Keywords

Impulse Response Receptive Field Cochlear Nucleus Spiral Ganglion Interaural Time Difference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Grossberg, S. (1988). Image fusion. DARPA Neural Network Study. Fairfax, VA, AFCEA International Press, pp. 485–498.Google Scholar
  2. Linsker, R. (1986a). From basic network principles to neural architecture: emergence of spatial-opponent cells. Proc. Natl. Acad. Sci. 83. 7508–12.CrossRefGoogle Scholar
  3. Linsker, R. (1986b). From basic network principles to neural architecture: emergence of orientation-selective cell-. Proc. Natl. Acad. Sci. 83. 8390–94.CrossRefGoogle Scholar
  4. Linsker, R. (1986c). From basic network principles to neural architecture: emergence of orientation columns. Proc. Natl. Acad. Sci. 83. 8779–83.CrossRefGoogle Scholar
  5. Poggio, T.. Gamble. E.B.. and Little. JJ. (1988). Parallel integration of vision modules. Science 242: 436–40.MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • B. H. Bonham
    • 1
  • F. H. Eeckman
    • 2
  • E. R. Lewis
    • 1
  1. 1.Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyUSA
  2. 2.Lawrence Livermore National LaboratoryLivermoretUSA

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