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Delay dynamics of neuromorphic optoelectronic nanoscale resonators: Perspectives and applications

2017-11Journal article Open access
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dc.contributor.authorRomeira, B.
dc.contributor.authorFigueiredo, José
dc.contributor.authorJavaloyes, Julien
dc.date.accessioned2019-11-20T15:07:13Z
dc.date.available2019-11-20T15:07:13Z
dc.date.issued2017-11
dc.description.abstractWith the recent exponential growth of applications using artificial intelligence (AI), the development of efficient and ultrafast brain-like (neuromorphic) systems is crucial for future information and communication technologies. While the implementation of AI systems using computer algorithms of neural networks is emerging rapidly, scientists are just taking the very first steps in the development of the hardware elements of an artificial brain, specifically neuromorphic microchips. In this review article, we present the current state of the art of neuromorphic photonic circuits based on solid-state optoelectronic oscillators formed by nanoscale double barrier quantum well resonant tunneling diodes. We address, both experimentally and theoretically, the key dynamic properties of recently developed artificial solid-state neuron microchips with delayed perturbations and describe their role in the study of neural activity and regenerative memory. This review covers our recent research work on excitable and delay dynamic characteristics of both single and autaptic (delayed) artificial neurons including all-or-none response, spike-based data encoding, storage, signal regeneration and signal healing. Furthermore, the neural responses of these neuromorphic microchips display all the signatures of extended spatio-temporal localized structures (LSs) of light, which are reviewed here in detail. By taking advantage of the dissipative nature of LSs, we demonstrate potential applications in optical data reconfiguration and clock and timing at high-speeds and with short transients. The results reviewed in this article are a key enabler for the development of high-performance optoelectronic devices in future high-speed brain-inspired optical memories and neuromorphic computing. (C) 2017 Author(s).
dc.description.sponsorshipFundacao para a Ciencia e a Tecnologia (FCT) [UID/Multi/00631/2013]
dc.description.sponsorshipEuropean Structural and Investment Funds (FEEI) through the Competitiveness and Internationalization Operational Program - COMPETE 2020
dc.description.sponsorshipNational Funds through FCT [ALG-01-0145-FEDER-016432/POCI-01-0145-FEDER-016432]
dc.description.sponsorshipEuropean Commission under the project iBROW [645369]
dc.description.sponsorshipproject COMBINA [TEC2015-65212-C3-3-PAEI/FEDER UE]
dc.description.sponsorshipRamon y Cajal fellowship
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1063/1.5008888
dc.identifier.issn1054-1500
dc.identifier.issn1089-7682
dc.identifier.urihttp://hdl.handle.net/10400.1/12933
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAmerican Institute of Physics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectTunneling-diode
dc.subjectLaser-diode
dc.subjectIntegrated-circuit
dc.subjectArtificial neuron
dc.subjectPhoto-detectors
dc.subjectCavity Solitons
dc.subjectData-storage
dc.subjectOscillator
dc.subjectSystem
dc.subjectSpiking
dc.titleDelay dynamics of neuromorphic optoelectronic nanoscale resonators: Perspectives and applications
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMulti%2F00631%2F2013/PT
oaire.citation.issue11
oaire.citation.startPage114323
oaire.citation.titleChaos
oaire.citation.volume27
oaire.fundingStream5876
person.familyNameRomeira
person.familyNameFigueiredo
person.givenNameBruno
person.givenNameJosé
person.identifier302846
person.identifier.ciencia-idCB1B-FEFF-EDDA
person.identifier.orcid0000-0002-1485-6665
person.identifier.orcid0000-0001-5668-7073
person.identifier.ridA-2903-2009
person.identifier.ridB-3378-2008
person.identifier.scopus-author-id24460638900
person.identifier.scopus-author-id7102525311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
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relation.isAuthorOfPublicationb4ed8989-3051-425e-a4b2-a7807f53e7a8
relation.isAuthorOfPublication.latestForDiscoveryf87c55de-dffd-470b-918b-aa14eb26b06b
relation.isProjectOfPublication093114eb-daa5-4e3d-98ce-bebbf4dde4b8
relation.isProjectOfPublication.latestForDiscovery093114eb-daa5-4e3d-98ce-bebbf4dde4b8

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