Stochastic resonance in a single autapse-coupled neuron

dc.authorid0000-0001-6504-1653en_US
dc.authorid0000-0002-3681-6787en_US
dc.contributor.authorBaysal, Veli
dc.contributor.authorÇalım, Ali
dc.date.accessioned2024-07-18T08:14:48Z
dc.date.available2024-07-18T08:14:48Z
dc.date.issued2023en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThe signal detection ability of nervous system is highly associated with nonlinear and collective behaviors in neuronal medium. Neuronal noise, which occurs as natural endogenous fluctuations in brain activity, is the most salient factor influencing this ability. Experimental and theoretical research suggests that noise is beneficial, not detrimental, for regular functioning of nervous system. In this regard, there is a general agreement that noise at an adequate intensity can engage rhythmic activity in brain and noise-induced oscillations enhances performance of the weak signal processing, especially when frequency of the signal is around that of the noise-induced rhythmic oscillation. This behavior in biological neural systems is explained by the notion of stochastic resonance. Another factor that plays a key role in regulating neuronal behaviors, including motor and cognitive tasks by maintaining signaling between cells, is characteristics of synapses different in structure and functioning. Here, we study stochastic resonance in Hodgkin-Huxley neuron that has a peculiar synaptic connection called autapse, known as a biophysical feedback mechanism, under presynaptic noise originating from superposition of inhibitory and excitatory Poisson bombardment. Our results show that, under certain conditions, autapse dynamics are able to improve the weak signal detection performance of Hodgkin-Huxley neuron via stochastic resonance. This study provides novel insights into functional role of autapse in neural information processing by revealing a biophysical aspect of stochastic resonance with numerical computations.en_US
dc.identifier.citationBaysal, V., & Calim, A. (2023). Stochastic resonance in a single autapse–coupled neuron. Chaos, Solitons & Fractals, 175, 114059.en_US
dc.identifier.doi10.1016/j.chaos.2023.114059
dc.identifier.endpage8en_US
dc.identifier.issn0960-0779
dc.identifier.issn1873-2887
dc.identifier.scopus2-s2.0-85171559966en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.chaos.2023.114059
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12252
dc.identifier.volume175en_US
dc.identifier.wosWOS:001079353300001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇalım, Ali
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofChaos, Solitons & Fractalsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBackground Activityen_US
dc.subjectStochastic Resonanceen_US
dc.subjectBrain Rhythmsen_US
dc.subjectHodgkın-Huxley Neuronen_US
dc.subjectNoiseen_US
dc.subjectInhibitionen_US
dc.titleStochastic resonance in a single autapse-coupled neuronen_US
dc.typeArticleen_US

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