Circuit design of tabu learning neuron models and their dynamic behavior

Abstract

The circuit design and implementation of neuron models have attracted much attention in recent years due to its importance in both theoretical studies and applications. In this paper, we designed electronic circuits for the recently proposed tabu learning chaotic neuron model, including the circuit design of single tabu learning neuron, a two-neuron system with linear proximity function, as well as a two-neuron system with quadratic proximity function. We used the electronic workbench (EWB) software to perform simulations of the designed circuits. We also studied the nonlinear behavior, especially the Hopf bifurcation and chaos, of the designed circuits. The consistency between the nonlinear behavior in the designed circuits and that in the numerical simulations demonstrates the correctness of the circuits design.