论文标题
嗅觉学习和表示的差异拓扑模型
A Differential Topological Model for Olfactory Learning and Representation
论文作者
论文摘要
该论文被设计为对感官感知，记忆和学习的神经生物学和数学方面的独立阐述，并偏向于嗅觉。最后一章介绍了一种新的方法，用于建模更多地关注系统的几何形状，而不是元素明智的动态。此外，我们为嗅觉加工构建了一个独立的生物模型：文献目前缺少的东西。
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.
