Numerical analyses and breadboard experiments of twin attractors in two-neuron-based non-autonomous Hopfield neural network
School of Information Science and Engineering, Changzhou University,
213164, P.R. China
a e-mail: email@example.com
Received in final form: 16 December 2017
Published online: 19 October 2018
This paper investigates twin attractors in a two-neuron-based non-autonomous Hopfield neural network (HNN) through numerical analyses and hardware experiments. Stability analysis of the DC equilibrium point is executed and an unstable saddle-focus is found in the parameter region of interest. The stimulus-associated dynamical behaviors are numerically explored by bifurcation diagrams and dynamical map in two-dimensional parameter-space, from which coexisting twin attractors behavior can be observed with the variations of two stimulus-associated parameters. Moreover, breadboard experiment investigations are carried out, which effectively verify the numerical simulations.
© EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature, 2018