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Two computational neural models : rodent perirhinal cortex and crab cardiac ganglion
(University of Missouri--Columbia, 2021)
be performed in alive or isolated biological systems, there is a need of standalone computational models which can help perform 'in silico' experiments. This dissertation focuses on such 'in silico' neuronal models to predict underlying mechanisms of governing...
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 a clinical dataset...
Biophysical modeling of neural computation at cell and network levels : three case studies
(University of Missouri--Columbia, 2023)
[EMBARGOED UNTIL 8/1/2024] In the following three case studies, we use mathematical modeling to explore neural computation at the cell and network levels. In the first case study, we explore how oscillatory rhythms -- found ...