Work

A Differential Topological Model for Olfactory Learning and Representation

Year: 2020
Type: preprint
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.
Language: English
Subfield: Sensory Systems
Open Access status: green
OpenAlex ID: W3083376301
Cites: 75
Cited by:
Related to: 10