Stability switches and fold-Hopf bifurcations in an inertial four-neuron network model with coupling delay

  • Authors:
  • Juhong Ge;Jian Xu

  • Affiliations:
  • Department of Mathematics and Information Science, He'nan University of Economics and Law, Zhengzhou 450002, PR China and School of Aerospace Engineering and Applied Mechanics, Tongji University, ...;School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, PR China

  • Venue:
  • Neurocomputing
  • Year:
  • 2013

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Abstract

The dynamics of a four-neuron delayed bidirectional associative memory (BAM) model with inertia are investigated. Local stability for the trivial equilibrium is analyzed for various system parameters. Stability switches and fold-Hopf bifurcations are found to occur in this model as progressive increasing of coupling delay values. Fold-Hopf bifurcations are completely analyzed in the parameter space of the coupling delay and the connection weight by employing the extended perturbation-incremental scheme. Various dynamical behaviors are qualitatively classified in the neighbor of fold-Hopf bifurcation point and bifurcating periodic solutions are expressed analytically in an approximate form. The validity of the results is shown by their consistency with the numerical simulation.