A novelty detector using a network of integrate and fire neurons

  • Tuong Vinh Ho
  • Jean Rouat
Part I: Coding and Learning in Biology
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)


Information in the nervous system has often been considered as being represented by simultaneous discharges of a large set of neurons. We propose a learning mechanism for neural information processing in a simulated cortex model. Also, a new paradigm for pattern recognition by oscillatory neural networks is proposed. The relaxation time of the oscillatory networks is used as a criterion for novelty detection.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Tuong Vinh Ho
    • 1
    • 2
  • Jean Rouat
    • 2
  1. 1.Dept. de Génie InformatiqueEcole Polytechnique de Montréal, CanadaCanada
  2. 2.Dept. Des Sciences AppliquéesUniversité du Québec á Chicoutimi, CanadaCanada

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