Coexisting Firing Patterns in an Improved Memristive Hindmarsh-Rose Neuron Model with Multi-Frequency Alternating Current Injection.

Autor: Wang M; School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China., Ding J; School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China., Deng B; School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China., He S; School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China., Iu HH; School of Electrical, Electronic and Computer Engineering, University of Western Australia, Crawley, WA 6009, Australia.
Jazyk: angličtina
Zdroj: Micromachines [Micromachines (Basel)] 2023 Dec 12; Vol. 14 (12). Date of Electronic Publication: 2023 Dec 12.
DOI: 10.3390/mi14122233
Abstrakt: With the development of memristor theory, the application of memristor in the field of the nervous system has achieved remarkable results and has bright development prospects. Flux-controlled memristor can be used to describe the magnetic induction effect of the neuron. Based on the Hindmarsh-Rose (HR) neuron model, a new HR neuron model is proposed by introducing a flux-controlled memristor and a multi-frequency excitation with high-low frequency current superimposed. Various firing patterns under single and multiple stimuli are investigated. The model can exhibit different coexisting firing patterns. In addition, when the memristor coupling strength changes, the multiple stability of the model is eliminated, which is a rare phenomenon. Moreover, an analog circuit is built to verify the numerical simulation results.
Databáze: MEDLINE