Fast-slow dynamics in a memristive ion channel-based bionic circuit.

Xincheng Ding, Chengtao Feng, Ning Wang, Ao Liu, Quan Xu

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In one paragraph

Article in Cognitive neurodynamics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Xincheng DingSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou, 213159 China.

Chengtao FengSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou, 213159 China.

Ning WangSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou, 213159 China.

Ao LiuSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou, 213159 China.

Quan XuSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou, 213159 China.ORCID 0000-0002-0370-9141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrophysiological properties of ion channels can influence the transport process of ions and the generation of firing patterns in an excitable biological neuron when applying an external stimulus and exceeding the excitable threshold. In this paper, a current stimulus is employed to emulate the external stimulus, and a second-order locally active memristor (LAM) is deployed to characterize the properties of ion channels. Then, a simple bionic circuit possessing the LAM, a capacitor, a DC voltage, and the current stimulus is constructed. Fast-slow dynamical effects of the current stimulus with low- and high-frequency are respectively explored. Numerical simulations disclose that the bionic circuit can generate bursting behaviors for the low-frequency current stimulus and spiking behaviors for the high-frequency current stimulus. Besides, fold and Hopf bifurcation sets are deduced and the bifurcation mechanisms for bursting behaviors are elaborated. Furthermore, the numerically simulated bursting and spiking behaviors are verified by PCB-based hardware experiments. These results reflect the feasibility of the bionic circuit in generating the firing patterns of spiking and bursting behaviors and the external current can be employed to regulate these firing patterns.

Indexed as

Bifurcation mechanismBursting behaviorHardware experimentLocal active memristorSpiking behavior

Identifiers

PMID39712136

DOI10.1007/s11571-024-10168-z

PMCPMC11655954

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.