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DC Field | Value | Language |
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dc.contributor.author | Bakó, László | - |
dc.contributor.author | Székely, Iuliu | - |
dc.contributor.author | Brassai, Tihamér Sándor | - |
dc.date.accessioned | 2021-12-07T13:01:35Z | - |
dc.date.available | 2021-12-07T13:01:35Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Bakó, László. Development of advanced neural models. Software and hardware implementations. Timişoara: Editura Politehnica, 2004 | en_US |
dc.identifier.uri | http://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.abstract | Neurobiological 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.iso | en | en_US |
dc.publisher | Timişoara : Editura Politehnica | en_US |
dc.relation.ispartofseries | Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 214-219 | - |
dc.subject | Neuromorphic neural networks | en_US |
dc.subject | Spiking neurons | en_US |
dc.subject | Simulation | en_US |
dc.subject | Hardware implementation | en_US |
dc.subject | FPGA | en_US |
dc.title | Development of advanced neural models. Software and hardware implementations [articol] | en_US |
dc.type | Article | en_US |
Appears in Collections: | Articole științifice/Scientific articles |
Files in This Item:
File | Description | Size | Format | |
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BUPT_Art_Bako_f.pdf | 720.23 kB | Adobe PDF | View/Open |
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