Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/4035
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dc.contributor.authorBakó, László-
dc.contributor.authorSzékely, Iuliu-
dc.contributor.authorBrassai, Tihamér Sándor-
dc.date.accessioned2021-12-07T13:01:35Z-
dc.date.available2021-12-07T13:01:35Z-
dc.date.issued2004-
dc.identifier.citationBakó, László. Development of advanced neural models. Software and hardware implementations. Timişoara: Editura Politehnica, 2004en_US
dc.identifier.urihttp://primo.upt.ro:1701/primo-explore/search?query=any,contains,Development%20of%20advanced%20neural%20models.%20Software%20and%20hardware%20implementations&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo-
dc.description.abstractNeurobiological research has lead to the birth of third generation (neuromorphic) artificial neural networks. One of these models is based on the natural “spiking” neural behavior, which creates the basis of our research. Following the developed mathematical “pulse reactive” model, we present our software simulator and one application of it. The FPGA built hardware spiking neuron is then introduced along with a network of these new model neurons. The modular neuron structure, acquired signals and performance analysis are given.en_US
dc.language.isoenen_US
dc.publisherTimişoara : Editura Politehnicaen_US
dc.relation.ispartofseriesBuletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 214-219-
dc.subjectNeuromorphic neural networksen_US
dc.subjectSpiking neuronsen_US
dc.subjectSimulationen_US
dc.subjectHardware implementationen_US
dc.subjectFPGAen_US
dc.titleDevelopment of advanced neural models. Software and hardware implementations [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

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