Neuron Modeling: Estimating the Parameters of a Neuron Model From Neural Spiking Data

dc.contributor.author Doruk, Reşat Özgür
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2024-10-06T11:32:19Z
dc.date.available 2024-10-06T11:32:19Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp ATILIM ÜNİVERSİTESİ en_US
dc.description.abstract We present a modeling study aiming at the estimation of the parameters of a single neuron model from neuralspiking data. The model receives a stimulus as input and provides the firing rate of the neuron as output. The neuralspiking data will be obtained from point process simulation. The resultant data will be used in parameter estimationbased on the inhomogeneous Poisson maximum likelihood method. The model will be stimulated by various forms ofstimuli, which are modeled by a Fourier series (FS), exponential functions, and radial basis functions (RBFs). Tabulatedresults presenting cases with different sample sizes (# of repeated trials), stimulus component sizes (FS and RBF),amplitudes, and frequency ranges (FS) will be presented to validate the approach and provide a means of comparison.The results showed that regardless of the stimulus type, the most effective parameter on the estimation performanceappears to be the sample size. In addition, the lowest variance of the estimates is obtained when a Fourier series stimulusis applied in the estimation. en_US
dc.identifier.citationcount 1
dc.identifier.endpage 2314 en_US
dc.identifier.issn 1300-0632
dc.identifier.issn 1300-0632
dc.identifier.issue 5 en_US
dc.identifier.scopusquality Q3
dc.identifier.startpage 2301 en_US
dc.identifier.trdizinid 323629
dc.identifier.uri https://search.trdizin.gov.tr/en/yayin/detay/323629/neuron-modeling-estimating-the-parameters-of-a-neuron-model-from-neural-spiking-data
dc.identifier.uri https://hdl.handle.net/20.500.14411/9935
dc.identifier.volume 26 en_US
dc.identifier.wosquality Q4
dc.institutionauthor Doruk, Reşat Özgür
dc.language.iso en en_US
dc.relation.ispartof Turkish Journal of Electrical Engineering and Computer Sciences en_US
dc.relation.publicationcategory Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Mühendislik en_US
dc.subject Elektrik ve Elektronik en_US
dc.subject Bilgisayar Bilimleri en_US
dc.subject Yazılım Mühendisliği en_US
dc.subject Bilgisayar Bilimleri en_US
dc.subject Sibernitik en_US
dc.subject Bilgisayar Bilimleri en_US
dc.subject Bilgi Sistemleri en_US
dc.subject Bilgisayar Bilimleri en_US
dc.subject Donanım ve Mimari en_US
dc.subject Bilgisayar Bilimleri en_US
dc.subject Teori ve Metotlar en_US
dc.subject Bilgisayar Bilimleri en_US
dc.subject Yapay Zeka en_US
dc.title Neuron Modeling: Estimating the Parameters of a Neuron Model From Neural Spiking Data en_US
dc.type Article en_US
dspace.entity.type Publication
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