Analogy circuit synthesis and dynamics confirmation of a bipolar pulse current-forced 2D Wilson neuron model
School of Microelectronics and Control Engineering, Changzhou University, 213164, Changzhou, People’s Republic of China
Accepted: 3 May 2021
Published online: 5 June 2021
Neurons can exhibit abundant electrical activities in response to various externally applied stimuli, which can lay the groundwork for widening their use in neuron-based engineering applications. This paper presents the dynamical behaviors and analogy circuit-based confirmations in a bipolar pulse (BP) current-forced two-dimensional (2D) Wilson neuron model. Due to the existence of BP current, the proposed 2D neuron model has periodically switchable equilibrium states. The BP current-associated dynamical behaviors, including subthreshold oscillation (STO), periodic limit cycle, chaos, and antimonotonicity phenomenon, are numerically revealed by common dynamical analyses. Note that the electrical activity behaves a close dependence on the frequency of the externally applied BP current. Thereafter, an analog circuit is optimally synthesized to implement the 2D Wilson neuron model by utilizing the off-the-shelf discrete components, upon which the Multisim 12.0-based circuit simulations and hardware experiments are executed. It is revealed that the circuit-simulated and experimentally captured results well confirm the numerically simulated ones.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2021