Date of Award
Master of Science in Engineering
Electrical and Computer Engineering
Dr. Damon A. Miller
Dr. John Jellies
Dr. Melinda E. Koelling
Dr. Cindy L. Linn
Electrophysiology, optimal control, neural stimulation, leech, neuron modeling
Masters Thesis-Abstract Only
Restricted to Campus until
The WMU Neurobiology Engineering Lab has previously utilized a "Reduced Energy Input Stimulus Discovery Method" to compute reduced energy stimuli which evoke desired neuron responses. This approach is based on applying an optimal control method to conductance-based neuron models. Initial experimental feasibility of using the discovered optimal currents has been previously demonstrated using leech pressure-sensitive mechanosensory neurons. This work validates and analyzes experimental application of this method. Based on this analysis, an `informed' neuron model is developed by adjusting parameters to minimize error between results from the informed model and experimental data. The informed model is used to find optimal currents that are subsequently applied to leech neurons. These informed optimal stimuli provide higher levels of energy reduction with equal levels of performance as compared to results using an uninformed (base) model. Methods to find reduced energy neuron stimuli may provide improved methods for neuron stimulation in medical and research work.
Ferguson, "Optimization and Experimental Application of Current Stimuli to Leech Pressure-Sensitive Mechanosensory Cells" (2017). Master's Theses. 1131.