On the Synchronizability of Quadratic Integrate and Fire Neurons

dc.contributor.authorÇiftçi, Koray
dc.date.accessioned2024-10-29T17:50:28Z
dc.date.available2024-10-29T17:50:28Z
dc.date.issued2024
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractSynchronization is a property of complex systems that manifests itself as the emergence of collective behavior from local interactions. Neurons are the basic building blocks of the nervous system, and in neuronal networks, the firing times of the neurons get synchronized via the electrical and chemical synapses among them. This property has been observed in both computational models and experimental studies. However, this synchronization's mechanisms have not yet been totally revealed. Here, we investigate the synchronization properties of quadratic integrate and fire (QIF) neurons from a computational modeling perspective. QIF neurons are simple yet effective models in the sense that they have the ability to capture complex behavior observed in neurons. We present analytical results concerning the spiking frequency of the QIF neurons and the relationships between membrane voltage and phase of the neurons. We give simulation results for a simple network of all-to-all coupled QIF neurons, demonstrating the effects of different types of coupling among the network members. We show that electrical and inhibitory chemical synapses play complementary roles in the formation of synchronized behavior in a neuronal network. Our results contribute to our understanding of the brain to produce cognitive abilities and coordinated action.
dc.identifier.doi10.28979/jarnas.1140961
dc.identifier.endpage90
dc.identifier.issn2757-5195
dc.identifier.issue1en_US
dc.identifier.startpage80
dc.identifier.trdizinid1228862
dc.identifier.urihttps://doi.org/10.28979/jarnas.1140961
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1228862
dc.identifier.urihttps://hdl.handle.net/20.500.11776/13008
dc.identifier.volume10
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofJournal of advanced research in natural and applied sciences (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSynchronization
dc.subjectneuron
dc.subjectphase
dc.subjectIntegrate and fire
dc.titleOn the Synchronizability of Quadratic Integrate and Fire Neurons
dc.typeArticle

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