Multistable dynamics in a Hopfield neural network under electromagnetic radiation and dual bias currents

This paper investigates a Hopfield neural network under the simulation of external electromagnetic radiation and dual bias currents, in which fluctuation magnetic flux across neuron membrane is used to emulate influence radiation. Utilizing conventional analytical methods, basic properties proposed are discussed. Due addition shows high sensitivity system parameters initial conditions. The possesses multistability with periodic attractor, quasi-periodic chaotic attractor transient all attractors hidden because there no equilibrium point system. In particular, when different, can present chaos different times. More interestingly, change parameters, exhibit parallel bifurcation behaviors. Finally, Multisim hardware experiment results based on discrete electronic components conducted support numerical ones. These could give useful information study nonlinear dynamic characteristics network.