Collective Properties of Neural Networks

  • P. Peretto
  • J. J. Niez
Conference paper
Part of the NATO ASI Series book series (volume 20)


A neural network is basically made of interconnected threshold automata i. (i=1,…., N) collecting the signals Sj produced by a set of upstream units j and delivering an output signal Si to a set of downstream units k. The evolution of the dynamic variables is driven by the following equations:
$$ {S_i}(t) = F({V_i}(\{ {S_i}(t - {\Delta_{{ij}}})\} - {e_i}) $$
where F is a sigmoïd function, Vi the membrane potential of i, Δij the transmission delay between the units j and i and ei the threshold of i.


Metastable State Dynamic Variable Instantaneous Frequency Noise Parameter Neural Dynamic 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • P. Peretto
    • 1
  • J. J. Niez
    • 2
  1. 1.DRF/PSC CEN GrenobleGrenobleFrance
  2. 2.LETI/MCS CEN GrenobleGrenobleFrance

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