Complexity and irregularity analysis of the output data of a cortical network

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dc.authorscopusid55293597800
dc.authorscopusid6603490446
dc.authorscopusid55293781400
dc.authorscopusid23973331200
dc.contributor.authorTekin R.
dc.contributor.authorEmin Tagluk M.
dc.contributor.authorErtugrul Ö.F.
dc.contributor.authorSezgin N.
dc.date.accessioned2024-08-04T20:04:00Z
dc.date.available2024-08-04T20:04:00Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description2013 21st Signal Processing and Communications Applications Conference, SIU 2013 -- 24 April 2013 through 26 April 2013 -- Haspolat -- 98109en_US
dc.description.abstractDepending on the complex interconnection of billions of neurons forming cortical network excitation times and the emergence of action potentials or spike trains becomes complex and irregular. The effect of various parameters such as synaptic connections, conductivity and voltage dependent channels on the output of the network has become of research issues. In this study, based on Hodgkin-Huxley neuron model an artificial cortical network that simulates a local region of cortex was designed and the effect of probabilistic values of network parameters used in this model on irregularity and complexity of the spike trains at the neurons' output were investigated. Approximation Entropy, Spectral Entropy and Magnitude Squared Coherence methods were used for irregularity analysis. © 2013 IEEE.en_US
dc.identifier.doi10.1109/SIU.2013.6531208
dc.identifier.isbn9781467355629
dc.identifier.scopus2-s2.0-84880863804en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2013.6531208
dc.identifier.urihttps://hdl.handle.net/11616/92278
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference, SIU 2013en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCoherenceen_US
dc.subjectCortical networken_US
dc.subjectEntropyen_US
dc.titleComplexity and irregularity analysis of the output data of a cortical networken_US
dc.title.alternativeKortikal bir ag modelinin çikis verisindeki karmasiklik ve uyumluluk analizien_US
dc.typeConference Objecten_US

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