Enhancing Neural Rehabilitation Insights: On the Path of Bridging Artificial and Biological Neural Networks

Enhancing Neural Rehabilitation Insights: On the Path of Bridging Artificial and Biological Neural Networks | 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 Enhancing Neural Rehabilitation Insights: On the Path of Bridging Artificial and Biological Neural Networks Abdullatif BABA This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6077736/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper introduces the conceptual parallel between the ANN training process and the learning mechanisms of the human brain. Then, we briefly discuss a set of recently achieved experimental findings from a prior study that delves into various scenarios, aiding in comprehending the functionality of impaired or damaged neurons within a neural system. The key contribution of this paper is to present a novel variant of the Adam optimizer that incorporates a Dynamic Momentum Adjustment factor, Adaptive Learning Rate, and Elastic Weight Consolidation technique. This enhanced version aims to deepen the knowledge of complex neural processes and interactions, offering deep insight into biological neurons and their rehabilitation systems. Adam Optimizer Neural Networks Dynamic Momentum Adjustment Adaptive Learning Rate Elastic Weight Consolidation Neural disorders Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6077736","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":418958689,"identity":"1fefc3b6-d24a-43ae-8cb2-ee134b9cdbfa","order_by":0,"name":"Abdullatif BABA","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1ElEQVRIie3RsQqCQBzH8Z8cOJ25nhzYK1wILkrPEgi1NjU1NDVVrjb1KicHtYSugYu9QRBEEEVWtKptDffd/vD/DH/+gE73l1EQIBSfwQRYSzKsCPmNqB+IPbPS83iae3acS5wmCk4yqCdMdiKebAufHSIYSabAWQOBpIJTswgFIyDWXMHlDaQrqXejjywUtgK5tyFCUp9bc+kLRCBGRXgT6anOMFivIq+6RaSLbESdTVlP3N1SFeNLvxfH6bG8TgKX7WU9eX/j22uXNuzrdDqdrk1Po1M7rYG8/roAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0001-5165-4205","institution":"Kuwait college of science and technology","correspondingAuthor":true,"prefix":"","firstName":"Abdullatif","middleName":"","lastName":"BABA","suffix":""}],"badges":[],"createdAt":"2025-02-21 08:46:53","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-6077736/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6077736/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":77000166,"identity":"3ccf6df9-9ad6-423b-81c6-42edcd511ec0","added_by":"auto","created_at":"2025-02-24 07:33:50","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":389636,"visible":true,"origin":"","legend":"","description":"","filename":"SpringerNatureLaTeXTemplate.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6077736/v1_covered_0efcf7b3-51ff-4117-a9fa-6a57833aafe4.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003eEnhancing Neural Rehabilitation Insights: On the Path of Bridging Artificial and Biological Neural Networks\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Adam Optimizer, Neural Networks, Dynamic Momentum Adjustment, Adaptive Learning Rate, Elastic Weight Consolidation, Neural disorders","lastPublishedDoi":"10.21203/rs.3.rs-6077736/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6077736/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis paper introduces the conceptual parallel between the ANN training process and the learning mechanisms of the human brain. 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