Loading temporal associative memory using the neuronic equation

  • Authors:
  • Cheng-Yuan Liou;Un-Cheong Sou

  • Affiliations:
  • Dept. of Computer Science and Information Engineering, National Taiwan University;Dept. of Physics, National Taiwan University

  • Venue:
  • ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
  • Year:
  • 2003

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Abstract

We discuss the loading capacity of the neuronic equation for temporal associative memory. We show explicitly how to synthesize a perfect temporal associative memory using a network of such neurons, where all non-linear aspects can be linearized in tensorial space.