An extensive FPGA-based realization study about the Izhikevich neurons and their bio-inspired applications

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dc.authoridKORKMAZ, Nimet/0000-0002-7419-1538
dc.contributor.authorKaraca, Zuhra
dc.contributor.authorKorkmaz, Nimet
dc.contributor.authorAltuncu, Yasemin
dc.contributor.authorKilic, Recai
dc.date.accessioned2024-11-07T13:32:55Z
dc.date.available2024-11-07T13:32:55Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this study, a comprehensive comparison about the hardware costs of the original and the modified Izhikevich neuron models and their applications have been presented to the literature. The chaotic behavior, the coupled version, the synchronization applications, and the control of the synchronization states of the original and the modified Izhikevich neurons have been handled and all of these structures have been also emulated with the FPGA-based realizations for the first time. The aim of this article is to show the suitability and the practicality of the Izhikevich neuron model to the electronic realization applications. According to this aim, firstly, the chaotic behaviors of the original and the modified Izhikevich neuron models have been observed with the numerical simulations. Then, the dynamical behaviors of two coupled original and two coupled modified Izhikevich neurons have been examined via the numerical analyses. After that, the synchronization status of two coupled original and two coupled modified Izhikevich neurons have been controlled by the Lyapunov method and these processes have been simulated numerically. Finally, all of these structures have been implemented with the FPGA device, separately. Therefore, it has been overcome the shortcomings in terms of the electronic realization applications of the Izhikevich neuron model. Besides, the device utilizations of the original and the modified Izhikevich neurons in the FPGA-based implementations have been compared inclusively.
dc.identifier.doi10.1007/s11071-021-06647-1
dc.identifier.endpage3549
dc.identifier.issn0924-090X
dc.identifier.issn1573-269X
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85112744374
dc.identifier.scopusqualityQ1
dc.identifier.startpage3529
dc.identifier.urihttps://doi.org/10.1007/s11071-021-06647-1
dc.identifier.urihttps://hdl.handle.net/11480/15674
dc.identifier.volume105
dc.identifier.wosWOS:000685793500002
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofNonlinear Dynamics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectIzhikevich neuron model
dc.subjectGenetic algorithm
dc.subjectNeural coupling
dc.subjectSynchronization
dc.subjectLyapunov control method
dc.subjectField programmable gate array (FPGA)
dc.titleAn extensive FPGA-based realization study about the Izhikevich neurons and their bio-inspired applications
dc.typeArticle

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