Modeling and analysis of nonlinear biological systems
Abstract
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] This dissertation focuses on the modeling and analysis of a set of biological phenomenon at a cellular (Part I) and systems (Part II) level. In Part I, the development and analysis of a biologically realistic single neuronal model that alone can mimic resonance filtering properties seen in the in behavioral data in a species of katydid is outlined. Additionally, a network level model of the BLA-NAc pathway was developed to investigate how dopamine and glutamate modulate the cue-primed relapse circuitry. In Part II, a systematic approach to determine correction factors on individual characteristics was developed to adjust the tolerance time predictions of an 'average' computational model of heat strain. Additionally, a new computational model of the human thermal system was developed that accounts for asymmetric environments and includes the arteriovenous anastomoses (AVAs) to provide finer prediction of toe and fingertip temperatures.
Degree
Ph. D.
Thesis Department
Rights
Access is limited to the campuses of the University of Missouri.