Journal of Zhejiang University SCIENCE  A

Accepted manuscript available online (unedited version)


Subbranch circuit approach for controlling neuronal dynamics in a memristive Josephson system


Author(s):  Ying XU

Affiliation(s):  School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, China

Corresponding email(s):  uryysunshine@163.com

Key Words:  Neuronal dynamics, Capacitive subbranch, Firing mode regulation, Energy distribution


Ying XU. Subbranch circuit approach for controlling neuronal dynamics in a memristive Josephson system[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2600078

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Abstract: 
The dynamic behavior of memristive Josephson neurons is highly sensitive to circuit configurations. This study proposes a novel control method for neuronal circuits based on targeted parallel shunting using an external capacitor. A hybrid circuit integrating a memristor, a Josephson junction, and a nonlinear resistor is constructed, with an external capacitive branch introduced in parallel with the nonlinear resistor to achieve precise manipulation of neuronal firing patterns. It is demonstrated that the external capacitive branch enables effective regulation of the firing patterns of the neuronal circuit through its targeted parallel connection to the nonlinear resistor. By continuously adjusting the external capacitance parameter, the system can realize controllable switching among various firing modes. Concurrently, variations in the stimulus amplitude reshape the internal energy distribution framework of the system, determining the dominant roles of different energy storage components. These two mechanisms constitute a dual-dimensional “mode–energy” regulation system for the neuronal circuit. Furthermore, the regulatory mechanism of the external branch originates from its unique local shunting effect and specific energy exchange process. The energy evolution of the external capacitor exhibits dynamic characteristics distinct from those of the main system, and this asynchronous energy response can effectively perturb the global balance of the system. The proposed method provides a foundation for the precise control of neuronal dynamics in memristive Josephson systems.

一种面向忆阻约瑟夫森系统中神经元动力学控制的子分支电路方法

作者:徐莹1,吴富强2
机构:1山东师范大学,数学与统计学院,中国济南,250014;2宁夏大学,数学统计学院,中国银川,750021
目的:针对神经元电路的精确控制问题,本研究提出并验证了一种基于外部电容器目标并联分流的新型控制方法。通过构建集成忆阻器、约瑟夫森结和非线性电阻的混合电路,并在非线性电阻两端并联外部电容支路,以实现对神经元放电模式的精确操控。
创新点:1.提出并验证了基于外部电容目标并联分流的神经元电路控制新方法。2.阐明了外部支路通过局部分流效应和异步能量响应扰动系统全局平衡的调控机理。
方法:1.构建包含忆阻器、约瑟夫森结和非线性电阻的混合神经元电路,并在非线性电阻上并联引入外部电容支路。2.通过连续调节外部电容参数,实现系统在不同放电模式之间的可控切换。3.分析刺激幅值变化对系统内部能量分布框架的影响,揭示双维调控机理。
结论:1.外部电容支路通过与非线性电阻的并联连接,能够有效实现对神经元电路放电模式的调控。2.外部电容参数与刺激幅值共同构成"模式-能量"调控系统。3.该控制方法为构建可重构、可预测的神经形态电路提供了新的物理实现路径。

关键词组:神经元动力学;电容子分支;放电模式调控;能量分布机制

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Baumgartner C, Fuchs L, Costa A, et al., 2022. Supercurrent rectification and magnetochiral effects in symmetric Josephson junctions. Nature Nanotechnology, 17(1):39-44.

[2]Baxevanis G, Hizanidis J, 2025. Inductively coupled Josephson junctions: a platform for rich neuromorphic dynamics. Physical Review E, 111(4):044214.

[3]Buzsáki G, Draguhn A, 2004. Neuronal oscillations in cortical networks. Science, 304(5679):1926-1929.

[4]Cheng S, Wang NG, Arnold DP, 2007. Modeling of magnetic vibrational energy harvesters using equivalent circuit representations. Journal of Micromechanics and Microengineering, 17(11):2328-2335.

[5]Chua L, 1971. Memristor-the missing circuit element. IEEE Transactions on Circuit Theory, 18(5):507-519.

[6]Dana SK, Sengupta DC, Edoh KD, 2001. Chaotic dynamics in Josephson junction. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 48(8):990-996.

[7]Guo Q, Lei Z, Ren GD, et al., 2025. Memristor-coupled circuits for neurons without capacitive variable. Chinese Journal of Physics, 97:653-672.

[8]Guo YT, Zhou P, Yao Z, et al., 2021. Biophysical mechanism of signal encoding in an auditory neuron. Nonlinear Dynamics, 105(4):3603-3614.

[9]Han JP, Zhang YZ, Wang XF, et al., 2023. Ultrasound-mediated piezoelectric nanoparticle modulation of intrinsic cardiac autonomic nervous system for rate control in atrial fibrillation. Biomaterials Science, 11(2):655-665.

[10]Hodgkin AL, Huxley AF, 1952. A quantitative description of membrane current and its application to conduction and excitation in nerve. Journal of Physiology, 117(4):500-544.

[11]Izhikevich EM, 2006. Dynamical Systems in Neuroscience: the Geometry of Excitability and Bursting. MIT Press, Cambridge, UK.

[12]Jia JN, Yang FF, Ma J, 2023. A bimembrane neuron for computational neuroscience. Chaos, Solitons & Fractals, 173:113689.

[13]Jia JN, Xie Y, Wang CN, et al., 2024. Thermosensitive double-membrane neurons and their network dynamics. Physica Scripta, 99(11):115030.

[14]Jia JN, Ren GD, Wang CN, 2025. Dynamics of a functional neural circuit without capacitor embedding. Chaos, 35(7):073127.

[15]Jiang CM, Liu YB, Zhang FF, et al., 2025. A novel neural circuit with a magnetic flux-controlled memristor and double capacitive membranes. Physica Scripta, 100(12):125212.

[16]Laing CR, 2023. Chimeras on a ring of oscillator populations. Chaos, 33(1):013121.

[17]Lei Z, Ma J, 2025. Coherence resonance and energy dynamics in a memristive map neuron. Chaos, 35(2):023158.

[18]Lei Z, Guo Q, Wang CN, et al., 2025a. Continuous energy exchange between magnetic fields supporting memristive neuron firing. Journal of Zhejiang University-SCIENCE A, 26(8):755-770.

[19]Lei Z, Guo YT, Ma J, et al., 2025b. Physical characteristic and dynamics in a neural circuit without using inductor and nonlinear resistor. Chaos, Solitons & Fractals, 199(Pt 1):116735.

[20]Lei Z, Zhang ZX, Guo Q, et al., 2026. A double-membrane neuron and circuit containing a memcapacitor. Chaos, Solitons & Fractals, 202(Pt 1):104688.

[21]Li CL, Yang YY, Du JR, et al., 2021. A simple chaotic circuit with magnetic flux-controlled memristor. The European Physical Journal Special Topics, 230(7):1723-1736.

[22]Li YN, Guo Q, Wang CN, et al., 2024. A map neuron with piezoelectric membrane, energy regulation and coherence resonance. Communications in Nonlinear Science and Numerical Simulation, 139:108320.

[23]Liu ZP, Zhou S, Zhu R, et al., 2025. Research on synchronization in a Josephson junction-memristor system with dual capacitive membranes. Chaos, Solitons & Fractals, 191:115918.

[24]Ma J, 2026. Energy dynamics in functional neurons and neural circuits. Journal of Lanzhou University of Technology, 52(2):165-172 (in Chinese).

[25]Mishra A, Ghosh S, Dana SK, et al., 2021. Neuron-like spiking and bursting in Josephson junctions: a review. Chaos, 31(5):052101.

[26]Moon J, Leeb SB, 2016. Power electronic circuits for magnetic energy harvesters. IEEE Transactions on Power Electronics, 31(1):270-279.

[27]Moujahid A, d’Anjou A, Torrealdea FJ, et al., 2011. Energy and information in Hodgkin–Huxley neurons. Physical Review E, 83(3):031912.

[28]Nakamura Y, Pashkin YA, Tsai JS, 2001. Rabi oscillations in a Josephson-junction charge two-level system. Physical Review Letters, 87(24):246601.

[29]Prezioso M, Merrikh-Bayat F, Hoskins BD, et al., 2015. Training and operation of an integrated neuromorphic network based on metal-oxide memristors. Nature, 521(7550):61-64.

[30]Ranasinghe KG, Kudo K, Hinkley L, et al., 2022. Neuronal synchrony abnormalities associated with subclinical epileptiform activity in early-onset Alzheimer’s disease. Brain, 145(2):744-753.

[31]Strukov DB, Snider GS, Stewart DR, et al., 2008. The missing memristor found. Nature, 453(7191):80-83.

[32]Sun GP, Yang FF, Ren GD, et al., 2023. Energy encoding in a biophysical neuron and adaptive energy balance under field coupling. Chaos, Solitons & Fractals, 169:113230.

[33]Uhlhaas PJ, Singer W, 2006. Neural synchrony in brain disorders: relevance for cognitive dysfunctions and pathophysiology. Neuron, 52(1):155-168.

[34]Wang BC, Lv M, Zhang XF, et al., 2024. Dynamics in a light-sensitive neuron with two capacitive variables. Physica Scripta, 99(5):055225.

[35]Wang RB, Zhang ZK, 2007. Energy coding in biological neural networks. Cognitive Neurodynamics, 1(3):203-212.

[36]Wu FQ, Meng H, Ma J, 2024. Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor. Neural Networks, 169:607-621.

[37]Xu Q, Fang YJ, Feng CT, et al., 2024. Firing activity in an N-type locally active memristor-based Hodgkin–Huxley circuit. Nonlinear Dynamics, 112(15):13451-13464.

[38]Yan DJ, Wu FQ, Wang WS, 2026. Synchronization of neuromorphic memristive Josephson junction network and its application. Chinese Physics B, 35(1):010505.

[39]Yang FF, Ma J, Ren GD, 2024. A Josephson junction-coupled neuron with double capacitive membranes. Journal of Theoretical Biology, 578:111686.

[40]Yu F, Wang XQ, Guo RY, et al., 2025. Discrete neuron models and memristive neural network mapping: a comprehensive review. Chinese Physics B, 34(12):120501.

[41]Zhang Y, Xu Y, Yao Z, et al., 2020. A feasible neuron for estimating the magnetic field effect. Nonlinear Dynamics, 102(3):1849-1867.

[42]Zhao JY, Yu Y, Han F, et al., 2024. Dynamic modeling and closed-loop modulation for absence seizures caused by abnormal glutamate uptake from astrocytes. Nonlinear Dynamics, 112(5):3903-3916.

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Full Text:  <851>

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On-line Access: 2026-11-04

Received: 2026-02-02

Revision Accepted: 2026-04-22

Crosschecked: 0000-00-00

Cited: 0

Clicked: 886

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Ying XU

https://orcid.org/0000-0002-8419-373X

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