A Differential Topological Model for Olfactory Learning and Representation

2020/09/04 by Cook, Jack A.
#FOS: Biological sciences #Neurons and Cognition (q-bio.NC)

paper · doi:10.48550/arxiv.2009.02310

Abstract

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.

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