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A memory failure computational model in Alzheimer-like disease via continuous delayed Hopfield network with Lurie control system based healing

datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg17:Parcerias para a Implementação dos Objetivos
dc.contributor.authorPinheiro, Rafael Fernandes
dc.contributor.authorColón, Diego
dc.contributor.authorFonseca-Pinto, Rui
dc.date.accessioned2025-10-02T15:22:22Z
dc.date.available2025-10-02T15:22:22Z
dc.date.issued2025-07
dc.descriptionArticle number - 129967
dc.description.abstractAlzheimer’s disease (AD) is a degenerative neurological condition that impacts millions of individuals across the globe and remains without a healing. In the search for new possibilities of treatments for this terrible disease, this work presents the improved Alzheimer-like disease (IALD) model for memory failure and connects it to a new control technique that establishes a cure for the memory lost, either in biological or in artificial neural networks. For the IALD model, continuous Hopfield neural networks (HNN) with time delay are used. From the healing side, a robust control technique is used, which is based on new discoveries in Lurie control systems. In addition, this paper reviews the development of Alzheimer-like disease (ALD) model, as well as, the relationship of HNN with Lurie system. Simulations are executed to validate the model and to show the efficacy of applying a new theorem from Lurie problem. With the results presented, this work proposes a new conceptual paradigm that could potentially be applied in memory failure treatments in AD, as well as in hardware implemented HNN under adversarial attacks or adverse environmental conditions.eng
dc.description.sponsorshipThis work was funded by Portuguese national funds provided by the Portuguese Foundation for Science and Technology (FCT) (FCT-UIDB/05704/2020) and in the scope of the research project 2 ARTs (PTDC/EMD-EMD/6588/2020). R. F. Pinheiro acknowledge FCT for the financial support through the Institutional Scientific Employment Stimulus CEECINST/00060/2021.
dc.identifier.citationRafael Fernandes Pinheiro, Diego Colón, Rui Fonseca-Pinto, A memory failure computational model in Alzheimer-like disease via continuous delayed Hopfield network with Lurie control system based healing, Neurocomputing, Volume 636, 2025, 129967, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2025.129967.
dc.identifier.doi10.1016/j.neucom.2025.129967
dc.identifier.eissn1872-8286
dc.identifier.issn0925-2312
dc.identifier.urihttp://hdl.handle.net/10400.8/14196
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relationCenter for Innovative Care and Health Technology
dc.relation2ARTs -Acessing Autonomic Control in Cardiac Rehabilitation
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S0925231225006393
dc.relation.ispartofNeurocomputing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAlzheimer disease
dc.subjectDK-iteration
dc.subjectHopfield neural network
dc.subjectLurie type systems
dc.subjectNeuroscience
dc.subjectRobust control
dc.titleA memory failure computational model in Alzheimer-like disease via continuous delayed Hopfield network with Lurie control system based healingeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Innovative Care and Health Technology
oaire.awardTitle2ARTs -Acessing Autonomic Control in Cardiac Rehabilitation
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05704%2F2020/PT
oaire.awardURIhttp://hdl.handle.net/10400.8/14027
oaire.citation.titleNeurocomputing
oaire.citation.volume636
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2020
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePinheiro
person.familyNameFonseca-Pinto
person.givenNameRafael
person.givenNameRui
person.identifier.ciencia-id8513-F117-D554
person.identifier.ciencia-id681D-C547-B184
person.identifier.orcid0000-0002-2369-9016
person.identifier.orcid0000-0001-6774-5363
person.identifier.ridK-9449-2014
person.identifier.scopus-author-id57204116615
person.identifier.scopus-author-id26039086400
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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