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

IF 3.1 3区 工程技术 Q2 NEUROSCIENCES Cognitive Neurodynamics Pub Date : 2024-09-10 DOI:10.1007/s11571-024-10168-z
Xincheng Ding, Chengtao Feng, Ning Wang, Ao Liu, Quan Xu
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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.

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基于记忆离子通道的仿生电路中的快慢动力学
当施加外部刺激并超过兴奋阈值时,离子通道的电生理特性会影响离子的传输过程以及可兴奋生物神经元的点火模式的产生。本文采用电流刺激来模拟外部刺激,并利用二阶局部有源忆阻器(LAM)来表征离子通道的特性。然后,利用 LAM、电容器、直流电压和电流刺激构建了一个简单的仿生电路。分别探讨了低频和高频电流刺激的快慢动态效应。数值模拟显示,仿生电路在低频电流刺激下能产生突发性行为,在高频电流刺激下能产生尖峰行为。此外,还推导出折叠和霍普夫分岔集,并阐述了猝发行为的分岔机制。此外,基于 PCB 的硬件实验验证了数值模拟的猝发和尖峰行为。这些结果反映了仿生电路在产生尖峰和猝发行为的点火模式方面的可行性,而且外部电流可用于调节这些点火模式。
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来源期刊
Cognitive Neurodynamics
Cognitive Neurodynamics 医学-神经科学
CiteScore
6.90
自引率
18.90%
发文量
140
审稿时长
12 months
期刊介绍: Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.
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