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Dynamic analysis of networks of neural oscillators

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New Trends in Neural Computation (IWANN 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

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Abstract

We present here a dynamic formalism which allow to compute analitically the stationary properties of networks of neural oscillators. This technique, derived originally to study situations away from equilibrium, is an alternative to standard methods developed to analyze the behaviour of attractor neural networks.

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Author information

Authors and Affiliations

  1. Departament de Física Fonamental, Facultat de Física, Universitat de Barcelona, Diagonal 647, 08028, Barcelona, Spain

    A. Arenas & C. J. Pérez Vicente

Authors
  1. A. Arenas
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  2. C. J. Pérez Vicente
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Editor information

José Mira Joan Cabestany Alberto Prieto

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© 1993 Springer-Verlag Berlin Heidelberg

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Arenas, A., Vicente, C.J.P. (1993). Dynamic analysis of networks of neural oscillators. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_141

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  • DOI: https://doi.org/10.1007/3-540-56798-4_141

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

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