Publication:

An Investigation on Spiking Neural Networks Based on the Izhikevich Neuronal Model: Spiking Processing and Hardware Approach

Date

2022
Journal article
https://doi.org/10.3390/math10040612
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dc.contributor.authorAlkabaa, Abdulaziz S.
dc.contributor.authorTaylan, Osman
dc.contributor.authorYilmaz, Mustafa Tahsin
dc.contributor.authorNazemi, Ehsan
dc.contributor.authorKalmoun, El Mostafa
dc.contributor.imecauthorNazemi, Ehsan
dc.date.accessioned2023-01-04T10:04:00Z
dc.date.available2022-04-14T02:09:41Z
dc.date.available2023-01-04T10:04:00Z
dc.date.issued2022
dc.description.wosFundingTextFundingThe authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (IFPHI-135-135-2020) and King Abdulaziz University, DSR, Jeddah, Saudi Arabia.
dc.identifier.doi10.3390/math10040612
dc.identifier.issn2227-7390
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39618
dc.publisherMDPI
dc.source.beginpage612
dc.source.endpagena
dc.source.issue4
dc.source.journalMATHEMATICS
dc.source.numberofpages21
dc.source.volume10
dc.subject.keywordsWILKINSON POWER DIVIDER
dc.subject.keywordsVOID FRACTION MEASUREMENT
dc.subject.keywordsMACHINE LEARNING-MODELS
dc.subject.keywordsGAMMA-RAY ATTENUATION
dc.subject.keywordsLIQUID-PHASE DENSITY
dc.subject.keywordsFLOW REGIME
dc.subject.keywordsDIGITAL IMPLEMENTATION
dc.subject.keywordsHARMONIC SUPPRESSION
dc.subject.keywordsLOWPASS FILTER
dc.subject.keywordsDESIGN
dc.title

An Investigation on Spiking Neural Networks Based on the Izhikevich Neuronal Model: Spiking Processing and Hardware Approach

dc.typeJournal article
dspace.entity.typePublication
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