Doubly stochastic Poisson processes in artificial neural learning

  • Authors:

  • H. C. Card

  • Affiliations:

  • Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1998

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Abstract

This paper investigates neuron activation statistics in artificial neural networks employing stochastic arithmetic. It is shown that a doubly stochastic Poisson process is an appropriate model for the signals in these circuits