The role of symmetry in the dynamics of the Realistic Neural Network model is studied. The phase diagram for Symmetric Realistic Neural Network with an external input of the constrained in time action is constructed. The oscillation regimes are investigated. For RNN of general form, the mean-field approximation is obtained.

Original languageEnglish
Pages (from-to)657-666
Number of pages10
JournalComputers and Mathematics with Applications
Volume34
Issue number7-8
StatePublished - 1 Oct 1997

    Scopus subject areas

  • Modelling and Simulation
  • Computational Theory and Mathematics
  • Computational Mathematics

    Research areas

  • Mean-field approximation, Neural networks

ID: 41387965