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dc.contributor.authorBaran, Ahmet Yasin
dc.contributor.authorKorkmaz, Nimet
dc.contributor.authorOzturk, Ismail
dc.contributor.authorKilic, Recai
dc.date.accessioned2024-03-12T19:29:14Z
dc.date.available2024-03-12T19:29:14Z
dc.date.issued2022
dc.identifier.issn2215-0986
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2021.09.008
dc.identifier.urihttps://hdl.handle.net/20.500.12450/2240
dc.description.abstractThe Spike-Time-Dependent-Plasticity (STDP) learning rule is frequently associated with the memristor structures in the neuromorphic studies, recently. In this study, after two HR neurons are coupled with a memristor based synapse structure as a unidirectional coupling; it is aimed to correlate the STDP learning rule and the memristor based synapse structure. In line of this motivation, two HR neurons (the transmitter and the receiver neurons) have been coupled with a memductance structure. After the current at the output of this memristor based synapse has been applied to the receiver neuron, a phase shift has been induced on the membrane potential of this receiver neuron. Additionally, this phase shift can be controlled by changing the 'Ron' resistance that is a parameter of the windowing function definition of the memristor device similar to the synaptic coupling weight parameter. Since the firing times of these coupled HR neurons can be controlled by changing this 'Ron' resistance, the STDP learning rule, which is based on the instantaneous firing time difference between the coupled neurons, has been validated as an alternative view point in here. The similarity between the pattern of the STDP learning rule and the pattern of two HR neurons coupled with the chemical and the memristor based synapses has been confirmed by comparing the numerical simulation results and it has been seen that the memristor device can be used as an alternative synapse definition in the neuromorphic studies. Finally, two HR neurons coupled with the memristor based synapse have been successfully realized by using the FPGA equipment, so an alternative neuromorphic study, which is associated with the STDP learning rule, memristor synapse and HR neurons, has been presented to the literature with this implementation. (c) 2021 Karabuk University. Publishing services by Elsevier B.V. This is an open access article under the CCen_US
dc.description.sponsorshipErciyes University Scientific Research Projects Coordination Unit (ERU/BAP); TUBiTAK 2210-C program; [FYL-2021- 10816]; [1649B022001684]en_US
dc.description.sponsorshipWe would like to thank Erciyes University Scientific Research Projects Coordination Unit (ERU/BAP) and TUBiTAK. This work is supported by the Erciyes University Scientific Research Projects Coordination Unit (ERU/BAP) under project codes FYL-2021- 10816 and TUBiTAK 2210-C program under project codes 1649B022001684.en_US
dc.language.isoengen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science And Technology-An International Journal-Jestechen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectHindmarsh-Rose neuron modelen_US
dc.subjectMemristor synapseen_US
dc.subjectSpike-Time-Dependent-Plasticity (STDP)en_US
dc.subjectNeuromorphic engineeringen_US
dc.titleOn addressing the similarities between STDP concept and synaptic/memristive coupled neurons by realizing of the memristive synapse based HR neuronsen_US
dc.typearticleen_US
dc.departmentAmasya Üniversitesien_US
dc.authoridKorkmaz, Nimet/0000-0002-7419-1538
dc.identifier.volume32en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85120707302en_US
dc.identifier.doi10.1016/j.jestch.2021.09.008
dc.department-temp[Baran, Ahmet Yasin; Kilic, Recai] Erciyes Univ, Dept Elect & Elect Engn, TR-38039 Kayseri, Turkey; [Korkmaz, Nimet] Kayseri Univ, Dept Elect & Elect Engn, TR-38280 Kayseri, Turkey; [Ozturk, Ismail] Amasya Univ, Dept Elect & Elect Engn, TR-05100 Amasya, Turkeyen_US
dc.identifier.wosWOS:000795351800009en_US
dc.authorwosidKorkmaz, Nimet/AFA-4789-2022


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