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An associative learning model for coupled neural oscillators

  • Jun Nishii
Plasticity Phenomena (Maturing, Learning and Memory)
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1240)

Abstract

Neurophysiological experiments have shown that many motor commands in living systems are generated by coupled oscillatory components, such as neural oscillators, which show periodic activities. In this paper a learning model for coupled neural oscillators is proposed. The learning rule is given in a simple associative form and makes the storage of an instructed phase pattern in coupled neural oscillators possible.

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References

  1. 1.
    S. Amari. Characteristics of random nets of analog neuron-like elements. IEEE Transactions on Systems, Man, and Cybernetics, smc-2:643–657, 1972.Google Scholar
  2. 2.
    R. Eckert, D. Randall, and G. Augustine, editors. Animal physiology: mechanisms and adaptations. W.H. Freeman and Company, New York, third edition, 1988.Google Scholar
  3. 3.
    R. E. Flamm and R. M. Harris-warrick. Aminergic modulation in lobster stomatogastric ganglion. I. effects on motor pattern and activity of neurons within the pyloric circuit. J Neurophysiol, 55(5):847–865, 1986.Google Scholar
  4. 4.
    P. A. Getting. Mechanisms of pattern generation underlying swimming in tritonia I. neuronal network formed by monosynaptic connections. J Neurophysiol, 46: 65–79, 1981.Google Scholar
  5. 5.
    S. Grillner, P. Wallen, and L. Brodin. Neuronal network generating locomotor behavior in lamprey: circuitry, transmitters, membrane, properties and simulation. Annu Rev Neurosci, 14:169–199, 1991.Google Scholar
  6. 6.
    J. P. Lund and S. Enomoto. The generation of mastication by the mammalian central nervous system. In A. H. Cohen, S. Rossignol, and S. Grillner, editors, Neural control of rhythmic movements in vertebrates, pages 41–72. John Wiley and Sons, 1988.Google Scholar
  7. 7.
    Jun Nishii. An adaptive control model of a locomotion by the central pattern generator. In From Natural to Artificial Neural Computation, Lecture Notes in Computer Science, 930, pages 151–157. Springer, 1995.Google Scholar
  8. 8.
    Jun Nishii. A learning model for a neural oscillator to generate a locomotor pattern. Proc. of 2nd International Congress of Computational Inteligence and Neuroscience, in press, 1997.Google Scholar
  9. 9.
    Jun Nishii. A learning model for the oscillatory network, submitted.Google Scholar
  10. 10.
    Jun Nishii and Kaoru Nakano. An adaptive control model of a locomotor pattern by a neural oscillator (in Japanese). Tech Rep of IEICE, NLP94-111:269–276, 1995.Google Scholar
  11. 11.
    Jun Nishii and Ryoji Suzuki. Oscillatory network model which learns a rhythmic pattern of an external signal. Proc. of IFAC Symposium, pages 501–502, 1994.Google Scholar
  12. 12.
    Jun Nishii, Yoji Uno, and Ryoji Suzuki. Mathematical models for the swimming pattern of a lamprey. I: analysis of collective oscillators with time delayed interaction and multiple coupling. Biological Cybernetics, 72:1–9, 1994.Google Scholar
  13. 13.
    K. Pearson. The control of walking. Scientific American, 235(6):72–86, 1976.Google Scholar
  14. 14.
    A. T. Winfree. Geometry of biological time. Springer, New York, 1980.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jun Nishii
    • 1
  1. 1.Laboratory for Neural ModelingThe institute of physical and chemical research (RIKEN)SaitamaJapan

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