Browsing Theses and Dissertations (MU) by Thesis Advisor "Nair, Satish S."
Now showing items 1-4 of 4
-
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 ... -
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 ... -
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 ... -
Two computational neural models : rodent perirhinal cortex and crab cardiac ganglion
(University of Missouri--Columbia, 2021)Neural engineering research has been rapidly growing in prominence in the past two decades, with 'reverse engineer the brain' listed as one of the 14 grand challenges outlined by the National Academy of Engineering. The ...