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dc.contributor.advisorLee, Robert
dc.contributor.authorMitchell, Cassie S.en_US
dc.date.accessioned2009-06-08T19:28:57Z
dc.date.available2009-06-08T19:28:57Z
dc.date.issued2009-04-09en_US
dc.identifier.urihttp://hdl.handle.net/1853/28213
dc.description.abstractThe key to understanding any system, including physiologic and pathologic systems, is to obtain a truly comprehensive view of the system. The purpose of this dissertation was to develop foundational analytical and modeling tools, which would enable such a comprehensive view to be obtained of any physiological or pathological system by combining experimental, clinical, and theoretical viewpoints. Specifically, we focus on the development of analytical and modeling techniques capable of predicting and prioritizing the mechanisms, emergent dynamics, and underlying principles necessary in order to obtain a comprehensive system understanding. Since physiologic systems are inherently complex systems, our approach was to translate the philosophy of complex systems into a set of applied and quantitative methods, which focused on the relationships within the system that result in the system's emergent properties and behavior. The result was a set of developed techniques, referred to as relational modeling and analysis that utilize relationships as either a placeholder or bridging structure from which unknown aspects of the system can be effectively explored. These techniques were subsequently tested via the construction and analysis of models of five very different systems: synaptic neurotransmitter spillover, secondary spinal cord injury, physiological and pathological axonal transport, and amyotrophic lateral sclerosis and to analyze neurophysiological data of in vivo cat spinal motoneurons. Our relationship-based methodologies provide an equivalent means by which the different perspectives can be compared, contrasted, and aggregated into a truly comprehensive viewpoint that can drive research forward.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectAxonal transporten_US
dc.subjectNeuronen_US
dc.subjectSpinal cord injuryen_US
dc.subjectPathologyen_US
dc.subjectComplex systemsen_US
dc.subjectComputer modelen_US
dc.subject.lcshBiological systems Mathematical models
dc.subject.lcshPhysiology, Pathological Computer simulation
dc.titleViewpoint aggregation via relational modeling and analysis: a new approach to systems physiologyen_US
dc.typeText
dc.description.degreePh.D.en_US
dc.contributor.departmentBiomedical Engineeringen_US
dc.contributor.committeeMemberKemp, Melissa
dc.contributor.committeeMemberPrinz, Astrid
dc.contributor.committeeMemberTing, Lena
dc.contributor.committeeMemberWiesenfeld, Kurt
dc.type.genreDissertation


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