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dc.contributor.authorGaff, Rebecca Jane
dc.date.accessioned2014-03-04T18:55:50Z
dc.date.available2014-03-04T18:55:50Z
dc.date.issued2010-08
dc.identifier.othergaff_rebecca_j_201008_ma
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/gaff_rebecca_j_201008_ma
dc.identifier.urihttp://hdl.handle.net/10724/26622
dc.description.abstractImaging research of seizures in Zebrafish brains involves tracing calcium levels as a by-product of neuronal firing using genetically encoded fluorescent calcium indicators. The imaging data suggests the seizures move in a wave-like pattern through the various parts of the brain. Using this data, researchers can predict the frequency of firing rates within the brain. The purpose of this thesis is to create a mathematical model that demonstrates a similar wave-like pattern at similar firing rate frequencies using a neuronal network of integrate-and-fire neurons. Calcium and its emission ratio are also modeled to connect the simulated data with the experimental data.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectSeizures
dc.subjectNeuronal Networks
dc.subjectIntegrate-and-fire neurons
dc.subjectmathematical modeling
dc.subjectZebrafish brain imaging
dc.subjectCalcium levels and emission ratios
dc.titleModeling seizures with a conductance-based integrate-and-fire neuronal network model
dc.typeThesis
dc.description.degreeMA
dc.description.departmentMathematics
dc.description.majorMathematics
dc.description.advisorAndrew Sornborger
dc.description.committeeAndrew Sornborger
dc.description.committeeCaner Kazanci
dc.description.committeeMalcolm Adams


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