EXPLORING THE CONNECTOME OF C. ELEGANS

Abstract

This thesis focuses on developing a computational model for the connectome of Caenorhabditis elegans (C. elegans) using the Julia programming language. It aims to bridge the gap between traditional laboratory experimentation and computational biology by providing an in silico model that encapsulates the neural architecture and connectivity of C. elegans. The research endeavors to create a comprehensive tool for future investigations in computational biology and neuroscience. Results demonstrate meticulous initialization of constants and computation of neuron threshold potentials critical for simulating neuronal activation and behavior. Overall, the thesis represents a significant advancement in computational biology and neuroscience, offering a detailed model of the C. elegans connectome and laying a foundation for further exploration into neural systems and their functional behaviors.