Inductor-Stabilized Charge-Controlled Memristor Neuromorphic Circuit Design With Complex Firing Dynamics

Inductor-Stabilized Charge-Controlled Memristor Neuromorphic Circuit Design With Complex Firing Dynamics | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Inductor-Stabilized Charge-Controlled Memristor Neuromorphic Circuit Design With Complex Firing Dynamics Lilian Huang, Xiaokun Yu, Xihong Yu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9175178/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 12 You are reading this latest preprint version Abstract Neuromorphic circuits based on memristive devices have attracted increasing attention for their potential to emulate biological neuronal dynamics and enable energy-efficient brain-inspired computing. In this paper, an inductor-stabilized charge-controlled memristor neuromorphic circuit is proposed to enable the practical circuit implementation of current-driven memristive neuron dynamics. By introducing an inductor in series with a charge-controlled memristor, the input characteristics are stabilized, allowing the memristor to approximately operate under current-controlled conditions in practical analog circuits. The resulting memristor–inductor structure is employed as an ion-channel element and incorporated into a neuron circuit, leading to the construction of a five-dimensional neuromorphic circuit system.The dynamical properties of the proposed circuit are systematically investigated through bifurcation diagrams and Lyapunov exponent spectra. Numerical results demonstrate that the system exhibits rich nonlinear behaviors, including periodic oscillations, period-doubling bifurcations, and chaotic firing patterns under different parameter conditions. In addition, the inductor not only stabilizes the memristor input characteristics but can also temporarily behave as a local equivalent power source, significantly influencing the system states. Finally, a PCB-based analog experimental circuit is designed and implemented to validate the proposed neuromorphic circuit model, and the experimental results agree well with numerical simulations, confirming the feasibility and effectiveness of the proposed circuit architecture. Charge-controlled memristor Ionic channel Neuromorphic circuit Dynamical behavior Analog Circuit Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 31 Mar, 2026 Reviews received at journal 31 Mar, 2026 Reviews received at journal 27 Mar, 2026 Reviewers agreed at journal 27 Mar, 2026 Reviews received at journal 26 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers agreed at journal 25 Mar, 2026 Reviewers invited by journal 25 Mar, 2026 Editor assigned by journal 24 Mar, 2026 Submission checks completed at journal 24 Mar, 2026 First submitted to journal 20 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9175178","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":612308511,"identity":"a85da612-216e-400c-abf6-060158f689b5","order_by":0,"name":"Lilian Huang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2UlEQVRIiWNgGAWjYBACPmbmhgNAOgHM+2BgY0dQCxszI0IL44yCtGTCWhgYGxhgWph5PhyCcPFqYWdsPPBzB0OewfGzh1/bGBxgZmA/fHQDIYcd7D3DUGxwJi/NOsfgDh8DT1raDYJ+4W1jSNxwIMfMOMfgGTODBI8ZQS0H/4K0nH9jZmxhcJixgRgth8G23MgxfsxAtBZZoJaZN96YMfYYpCWzEfILP//hwx/fArX0nc8x/vDjj40dP/vhY3i1QMF/sI0SYJII5XDA/IEU1aNgFIyCUTByAADHUksWgP78+gAAAABJRU5ErkJggg==","orcid":"","institution":"Harbin Engineering University","correspondingAuthor":true,"prefix":"","firstName":"Lilian","middleName":"","lastName":"Huang","suffix":""},{"id":612308512,"identity":"d5dd8a85-52a0-4848-b2f6-510d966d48fe","order_by":1,"name":"Xiaokun Yu","email":"","orcid":"","institution":"Harbin Engineering University","correspondingAuthor":false,"prefix":"","firstName":"Xiaokun","middleName":"","lastName":"Yu","suffix":""},{"id":612308513,"identity":"5978017c-7b7b-4cca-b758-8b725b578dc3","order_by":2,"name":"Xihong Yu","email":"","orcid":"","institution":"Harbin Engineering University","correspondingAuthor":false,"prefix":"","firstName":"Xihong","middleName":"","lastName":"Yu","suffix":""}],"badges":[],"createdAt":"2026-03-20 05:38:56","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9175178/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9175178/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":105566306,"identity":"8df603c0-29b0-4e67-ad1c-90ef11713037","added_by":"auto","created_at":"2026-03-27 12:56:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1517648,"visible":true,"origin":"","legend":"","description":"","filename":"InductorStabilizedChargeControlledMemristorNeuromorphicCircuitDesignWithComplexFiringDynamics.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9175178/v1_covered_f62c071a-97e9-4751-bfcb-2db1c3508e0b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Inductor-Stabilized Charge-Controlled Memristor Neuromorphic Circuit Design With Complex Firing Dynamics","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"nonlinear-dynamics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"nody","sideBox":"Learn more about [Nonlinear Dynamics](https://www.springer.com/journal/11071)","snPcode":"11071","submissionUrl":"https://submission.nature.com/new-submission/11071/3","title":"Nonlinear Dynamics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Charge-controlled memristor, Ionic channel, Neuromorphic circuit, Dynamical behavior, Analog Circuit","lastPublishedDoi":"10.21203/rs.3.rs-9175178/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9175178/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eNeuromorphic circuits based on memristive devices have attracted increasing attention for their potential to emulate biological neuronal dynamics and enable energy-efficient brain-inspired computing. In this paper, an inductor-stabilized charge-controlled memristor neuromorphic circuit is proposed to enable the practical circuit implementation of current-driven memristive neuron dynamics. By introducing an inductor in series with a charge-controlled memristor, the input characteristics are stabilized, allowing the memristor to approximately operate under current-controlled conditions in practical analog circuits. The resulting memristor\u0026ndash;inductor structure is employed as an ion-channel element and incorporated into a neuron circuit, leading to the construction of a five-dimensional neuromorphic circuit system.The dynamical properties of the proposed circuit are systematically investigated through bifurcation diagrams and Lyapunov exponent spectra. Numerical results demonstrate that the system exhibits rich nonlinear behaviors, including periodic oscillations, period-doubling bifurcations, and chaotic firing patterns under different parameter conditions. In addition, the inductor not only stabilizes the memristor input characteristics but can also temporarily behave as a local equivalent power source, significantly influencing the system states. 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