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Implementation of a spiking neural network

2006Conference object Restricted access
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dc.contributor.authorPacheco, E.
dc.contributor.authorMoura, L.
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-02-13T09:00:47Z
dc.date.available2013-02-13T09:00:47Z
dc.date.issued2006
dc.date.updated2013-01-28T16:15:07Z
dc.description.abstractReconfigurable systems allow the implementation of hardware using a Hardware Description Language (HDL). This allows a simple implementation and on-line reconfiguration, which are big advantages when compared to traditional electronic circuits, while maintain its main advantages: parallelism and speed. When an analogue system is considered, in this case a Field Programmable Analogue Array (FPAA), another advantage his added, the precision of the results. The neural networks allow fast outputs with low errors for complex systems.por
dc.identifier.citationPacheco, E.; Moura, L.; Ruano, A. E. Implementation of a spiking neural network, Trabalho apresentado em Global Education Techology Symposium (GETS 2006), In Proceedings of the Global Education Techology Symposium (GETS 2006), Faro, 2006.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2324
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectAnalogue systemspor
dc.subjectField Programmable Analogue Arraypor
dc.subjectNeural Networkpor
dc.subjectSpiking Neuronspor
dc.titleImplementation of a spiking neural networkpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFaropor
oaire.citation.endPage2por
oaire.citation.startPage1por
oaire.citation.titleGlobal Education Techology Symposium (GETS 2006)por
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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