This thesis is designed to be a self-contained exposition of the neurobiological and mathematical aspects of sensory perception, memory, and learning with a bias towards olfaction. The final chapters introduce a new approach to modeling focusing more on the geometry of the system as opposed to element wise dynamics. Additionally, we construct an organism independent model for olfactory processing: something which is currently missing from the literature.
@article{arxiv.2009.02310,
title = {A Differential Topological Model for Olfactory Learning and Representation},
author = {Jack A. Cook},
journal= {arXiv preprint arXiv:2009.02310},
year = {2020}
}