Limit Cycle of a Single-Neuron System and Its Circuitry Design

Autor: Yunhang Zhu, Xiaofeng Liao, Jintao Huang, Nankun Mu
Rok vydání: 2021
Předmět:
Zdroj: ICACI
Popis: In this paper, we investigate the limit cycle of a single-neuron system and its circuit design. By transforming the system into Lienard-type and using Poincare-Bendixson theorem as well as the symmetry of this systems, we obtain the existence conditions of limit cycle of the system. Then, by comparing the integral value of the differential of positive definite function along two assumed limit cycles, we prove that the system cannot produce two coexisting limit cycles, which means that the system has at most one limit cycle. In addition, we give the numerical simulation, and realize the circuit design of the single-neuron system by using Multisim. The waveform diagram and phase diagram of the numerical simulation and circuit simulation are obtained respectively. By comparing the results of numerical and circuit simulation, the effectiveness of our mathematical analysis and the feasibility of circuit design are better illustrated.
Databáze: OpenAIRE