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Neural modeling case studies at biophysical, machine learning, and automation levels
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 12/1/2024] This dissertation reports three case studies using machine learning, biophysical, and automation frameworks to study neural engineering challenges. The first study utilized machine learning with ...
Biophysical modeling to reverse engineer two mammalian neural circuits lower urinar Y tract and hippocampus
(University of Missouri--Columbia, 2020)
Computational neuroscience provides tools to abstract and generalize principles of neuronal function using mathematics and computers. This dissertation reports biophysical modeling approaches to facilitate reverse engineering ...