Simulating neural network learning with TEST/NIL

  • Authors:
  • D. E. House

  • Affiliations:
  • -

  • Venue:
  • ACM SIGSIM Simulation Digest
  • Year:
  • 1989

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Abstract

TEST/NIL is a neural network learning simulation tool. TEST (Threshold Element Simulation Tool) is both an input language compiler and a simulation environment builder. NIL is the Network Input Language. TEST/NIL was designed to investigate biologically plausible learning theories at a level lower than that of cognitive psychology and higher than that of chemical pulse transmission. The discrete event simulation technique used by TEST/NIL is designed for possible optimization via parallelism. Appendices summarize the input language and provide a programming example.