Complexity and Irregularity Analysis of the Output Data of a Cortical Network

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dc.authoridTekin, Ramazan/0000-0003-4325-6922
dc.authoridTağluk, M. Emin/0000-0001-7789-6376
dc.authoridERTUGRUL, Ömer Faruk/0000-0003-0710-0867
dc.authorwosidTekin, Ramazan/I-1519-2014
dc.authorwosidTağluk, M. Emin/ABH-1005-2020
dc.authorwosidERTUGRUL, Ömer Faruk/F-7057-2015
dc.contributor.authorTekin, Ramazan
dc.contributor.authorTagluk, M. Emin
dc.contributor.authorErtugrul, Omer Faruk
dc.contributor.authorSezgin, Necmettin
dc.date.accessioned2024-08-04T20:57:30Z
dc.date.available2024-08-04T20:57:30Z
dc.date.issued2013
dc.departmentİnönü Üniversitesien_US
dc.description21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUSen_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.en_US
dc.identifier.isbn978-1-4673-5563-6
dc.identifier.isbn978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/11616/102681
dc.identifier.wosWOS:000325005300049en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2013 21st Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCortical Networken_US
dc.subjectEntropyen_US
dc.subjectCoherenceen_US
dc.titleComplexity and Irregularity Analysis of the Output Data of a Cortical Networken_US
dc.typeConference Objecten_US

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