Neural models I: A hierarchical model of neocortical synaptic organization

  • Authors:
  • J. P. Sutton;J. S. Beis;L. E. H. Trainor

  • Affiliations:
  • Department of Physics, University of Toronto, Toronto, Ontario, Canada M5S 1A7;Department of Physics, University of Toronto, Toronto, Ontario, Canada M5S 1A7;Department of Physics, University of Toronto, Toronto, Ontario, Canada M5S 1A7

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 1988

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Abstract

A robust model of neocortical circuitry based on hierarchical synaptic organization is described. The parallel distributed and hierarchical properties of the model can be used as an associative memory capable of simulating multi-level responses and selective memory loss in real neural circuits.